{"id":42235,"date":"2026-09-23T15:17:01","date_gmt":"2026-09-23T13:17:01","guid":{"rendered":"https:\/\/neura-robotics.com\/neuron-ai\/"},"modified":"2026-11-05T08:26:47","modified_gmt":"2026-11-05T07:26:47","slug":"neuron-ai","status":"publish","type":"page","link":"https:\/\/neura-robotics.com\/de\/neuron-ai\/","title":{"rendered":"Neuron AI"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"42235\" class=\"elementor elementor-42235 elementor-41527\" data-elementor-post-type=\"page\">\n\t\t\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-a1e7eef nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"a1e7eef\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;video&quot;,&quot;background_video_link&quot;:&quot;https:\\\/\\\/neura-robotics.com\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/20261009_NEURA_Neuron_AI_TEASER_90s_MASTER_HR-online-video-cutter.com-1.mp4&quot;,&quot;background_play_on_mobile&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-background-video-container\">\n\t\t\t\t\t\t\t<video class=\"elementor-background-video-hosted\" role=\"presentation\" autoplay muted playsinline loop><\/video>\n\t\t\t\t\t<\/div>\t\t<div class=\"elementor-element elementor-element-afa5663 elementor-widget elementor-widget-html\" data-id=\"afa5663\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n@media (max-width:1600px){\n  .elementor-41527 h1.elementor-heading-title{font-size:clamp(44px,4.3vw,82px)!important}\n  .elementor-41527 h2.elementor-heading-title{font-size:clamp(30px,2.6vw,50px)!important}\n  .elementor-41527 .elementor-widget-text-editor{font-size:clamp(16px,1.05vw,20px)!important}\n  .elementor-41527 .nai-section{\n    padding:clamp(64px,6.25vw,120px) clamp(24px,8vw,245px)!important}\n  .elementor-41527 .nai-card{padding:clamp(24px,2.1vw,40px)!important}\n}\n<\/style>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-50649fa e-con-full e-flex e-con e-child\" data-id=\"50649fa\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-26475fb e-con-full e-flex e-con e-child\" data-id=\"26475fb\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b6b6df3 elementor-widget elementor-widget-heading\" data-id=\"b6b6df3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Neuron AI<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1391fd3 elementor-widget elementor-widget-heading\" data-id=\"1391fd3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Das Foundation Model f\u00fcr Physical AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a12f296 elementor-widget elementor-widget-text-editor\" data-id=\"a12f296\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Das Perception-Language-Action-Modell (PLA) von NEURA vereint 3D-Sehen, Tastsinn, H\u00f6ren, den Eigenzustand des Roboters und Sprache und verkn\u00fcpft all das mit einem Ged\u00e4chtnis. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-823160e e-con-full e-flex e-con e-child\" data-id=\"823160e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<a data-premium-element-link=\"{&quot;type&quot;:&quot;url&quot;,&quot;link&quot;:{&quot;url&quot;:&quot;#&quot;,&quot;is_external&quot;:&quot;&quot;,&quot;nofollow&quot;:&quot;&quot;,&quot;custom_attributes&quot;:&quot;&quot;},&quot;href&quot;:&quot;#&quot;}\" style=\"cursor: pointer\" data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-c54f040 e-con-full blurry-button premium-wrapper-link-yes e-flex e-con e-child\" data-id=\"c54f040\" data-element_type=\"container\" data-e-type=\"container\" href=\"https:\/\/neura-robotics.com\/de\/kontaktiere-uns\/\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d7d639c elementor-widget elementor-widget-text-editor\" data-id=\"d7d639c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Kontakt aufnehmen<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-37ffc82 e-con-full e-flex e-con e-child\" data-id=\"37ffc82\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8df2fcd elementor-widget elementor-widget-image\" data-id=\"8df2fcd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" loading=\"lazy\" width=\"49\" height=\"49\" src=\"https:\/\/neura-robotics.com\/wp-content\/uploads\/2025\/05\/black-box-arrow-btn.svg\" class=\"attachment-full size-full wp-image-150\" alt=\"NEURA Robotics Black Box Arrow\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-6cb9451 nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"6cb9451\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-c0be741 e-con-full e-flex e-con e-child\" data-id=\"c0be741\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cdf0eac elementor-widget elementor-widget-heading\" data-id=\"cdf0eac\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Warum Sehen allein nicht ausreicht \u2013 Lernen Sie Neuron AI kennen<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-23c5b25 elementor-widget elementor-widget-text-editor\" data-id=\"23c5b25\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Menschen verlassen sich bei der Arbeit nicht nur auf ihre Augen: Sie sp\u00fcren, wenn eine Schraube greift, h\u00f6ren, wie ein Riegel einrastet, und wissen auch dann noch, wo ein Bauteil liegt, wenn sie gerade woanders hinschauen. Ein Roboter, der nur sieht, erfasst dagegen blo\u00df die Oberfl\u00e4che. Neuron AI gibt Robotern deshalb alle Sinne und das Ged\u00e4chtnis, um sie sinnvoll miteinander zu verbinden.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-43172b2 elementor-widget elementor-widget-video\" data-id=\"43172b2\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/vPnh8Rvn8nA&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e001ab1 nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"e001ab1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fb06ab8 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"fb06ab8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Roboter, die sich nicht nur bewegen, sondern auch verstehen<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-b853b66 e-grid e-con-full e-con e-child\" data-id=\"b853b66\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-7394bbc e-con-full nai-card e-flex e-con e-child\" data-id=\"7394bbc\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-91511fb elementor-widget elementor-widget-heading\" data-id=\"91511fb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">VISION-BASIERTE MODELLE (VLA)<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78da676 elementor-widget elementor-widget-heading\" data-id=\"78da676\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Optimiert f\u00fcr Bewegung<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e3f80fe elementor-widget elementor-widget-text-editor\" data-id=\"e3f80fe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Vision-basierte Modelle leisten bereits eine Menge. Sie verlassen sich jedoch auf das, was die Kamera im jeweiligen Moment sieht, und treffen ihre Entscheidungen deshalb meist nur auf Grundlage des aktuellen Bildes.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-a62fd4f e-con-full nai-card e-flex e-con e-child\" data-id=\"a62fd4f\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a45a5dd elementor-widget elementor-widget-heading\" data-id=\"a45a5dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">MIT NEURON AI<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7fd595e elementor-widget elementor-widget-heading\" data-id=\"7fd595e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Optimiert f\u00fcr Kognition<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ee18a2d elementor-widget elementor-widget-text-editor\" data-id=\"ee18a2d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Neuron AI kann alles, was ein VLA-Modell kann, und erg\u00e4nzt es um Tastsinn, H\u00f6ren und Ged\u00e4chtnis \u2013 f\u00fcr all das, was ein Roboter nicht sehen kann.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-d6bc431 nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"d6bc431\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-36c7af9 e-con-full e-flex e-con e-child\" data-id=\"36c7af9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d9ed08d elementor-widget elementor-widget-heading\" data-id=\"d9ed08d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Wie Neuron AI die Welt wahrnimmt<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-428d975 e-con-full e-flex e-con e-child\" data-id=\"428d975\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-4acc4fa e-con-full e-flex e-con e-child\" data-id=\"4acc4fa\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-c64dbd9 e-con-full nai-card e-flex e-con e-child\" data-id=\"c64dbd9\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dd36aca elementor-widget elementor-widget-heading\" data-id=\"dd36aca\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Sehen<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e0ad5df elementor-widget elementor-widget-text-editor\" data-id=\"e0ad5df\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Neuron AI erfasst Geometrie, Farbe und Position in drei Dimensionen. Statt eines flachen Bildes nimmt es die Szene als Raum wahr und erkennt, wo jedes Objekt steht und wie der Roboter es erreichen kann.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-c61735f e-con-full nai-card e-flex e-con e-child\" data-id=\"c61735f\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c46bddc elementor-widget elementor-widget-heading\" data-id=\"c46bddc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">F\u00fchlen<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-858a610 elementor-widget elementor-widget-text-editor\" data-id=\"858a610\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Neuron AI sp\u00fcrt den Kontakt mit einer Oberfl\u00e4che und merkt, ob eine Schraube greift oder durchdreht oder ob ein Beutel voll oder leer ist. Daf\u00fcr flie\u00dfen Tast-, Kraft- und Drehmomentdaten direkt in das Modell ein.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-6d7cf85 e-con-full e-flex e-con e-child\" data-id=\"6d7cf85\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-11a513f e-con-full nai-card e-flex e-con e-child\" data-id=\"11a513f\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-82ee1df elementor-widget elementor-widget-heading\" data-id=\"82ee1df\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">H\u00f6ren<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8ef4103 elementor-widget elementor-widget-text-editor\" data-id=\"8ef4103\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Wenn etwas au\u00dfer Sichtweite einrastet, ist das Klicken oft das einzige Zeichen daf\u00fcr. \u00dcber Audio macht Neuron AI solche unsichtbaren Ereignisse zu Signalen, auf die der Roboter reagieren kann.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-09af2c0 e-con-full nai-card e-flex e-con e-child\" data-id=\"09af2c0\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-59278db elementor-widget elementor-widget-heading\" data-id=\"59278db\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Erinnern<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2aa254f elementor-widget elementor-widget-text-editor\" data-id=\"2aa254f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Die Welt besteht weiter, auch wenn gerade niemand hinsieht und die Zeit vergeht. Neuron AI merkt sich, was es gesehen hat. Ein Bauteil, das hinter einem anderen verschwindet, ist f\u00fcr den Roboter also nicht pl\u00f6tzlich weg.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-7ac2d0a nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"7ac2d0a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-275211c elementor-widget elementor-widget-heading\" data-id=\"275211c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Wie aus f\u00fcnf Sinnen eine einzige Handlung entsteht<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-160960b elementor-widget elementor-widget-text-editor\" data-id=\"160960b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Jede Sinnesmodalit\u00e4t wird kodiert, \u00fcber die Zeit hinweg in einem gemeinsamen Raum zusammengef\u00fchrt und schlie\u00dflich in einen durchg\u00e4ngigen Handlungsstrom \u00fcbersetzt.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-f656667 e-grid e-con-full e-con e-child\" data-id=\"f656667\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e1e91bf e-con-full nai-card e-flex e-con e-child\" data-id=\"e1e91bf\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bc85c03 elementor-widget elementor-widget-heading\" data-id=\"bc85c03\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">1<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e57e954 elementor-widget elementor-widget-heading\" data-id=\"e57e954\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">3D-Sehen<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3d09ff7 elementor-widget elementor-widget-text-editor\" data-id=\"3d09ff7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Punktwolken und Tiefeninformationen, mit denen die Szene als Raum statt als flaches Bild erfasst wird.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-d36af0e e-con-full nai-card e-flex e-con e-child\" data-id=\"d36af0e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a4df7b6 elementor-widget elementor-widget-heading\" data-id=\"a4df7b6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">2<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4248268 elementor-widget elementor-widget-heading\" data-id=\"4248268\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Taktil<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64534b3 elementor-widget elementor-widget-text-editor\" data-id=\"64534b3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Kraft-, Drehmoment- und Kontaktdaten aus den H\u00e4nden und Greifern des Roboters.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-9772ff3 e-con-full nai-card e-flex e-con e-child\" data-id=\"9772ff3\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-37b03fe elementor-widget elementor-widget-heading\" data-id=\"37b03fe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">3<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f771574 elementor-widget elementor-widget-heading\" data-id=\"f771574\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Audio<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2a8426 elementor-widget elementor-widget-text-editor\" data-id=\"d2a8426\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Kontaktger\u00e4usche ebenso wie gesprochene Anweisungen.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-970feb9 e-con-full nai-card e-flex e-con e-child\" data-id=\"970feb9\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-571fa15 elementor-widget elementor-widget-heading\" data-id=\"571fa15\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">4<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8ef8b84 elementor-widget elementor-widget-heading\" data-id=\"8ef8b84\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Roboterzustand<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa374d3 elementor-widget elementor-widget-text-editor\" data-id=\"aa374d3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Gelenkpositionen, Geschwindigkeiten und die Pose des Endeffektors.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-dec47bb e-con-full nai-card e-flex e-con e-child\" data-id=\"dec47bb\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fe9b80a elementor-widget elementor-widget-heading\" data-id=\"fe9b80a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">5<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3d1c2e0 elementor-widget elementor-widget-heading\" data-id=\"3d1c2e0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Sprache<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c19751 elementor-widget elementor-widget-text-editor\" data-id=\"6c19751\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Aufgabenbeschreibungen und physikalische Konzepte, abgestimmt auf das, was der Roboter gerade wahrnimmt.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-2c7e961 e-con-full e-flex e-con e-child\" data-id=\"2c7e961\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-67c3916 elementor-widget elementor-widget-html\" data-id=\"67c3916\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<!-- ============================================================\r\n     NEURA Robotics \u2014 \"How the PLA model works\" animated diagram\r\n     Paste this whole block into one Elementor HTML widget.\r\n     Font: inherits from the page. 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font-weight:500; fill:var(--ink); }\r\n  .neura-pla .hl .hl-d{ font-size:20px; fill:var(--ink-2); }\r\n  .neura-pla .mobile .hl .hl-d{ font-size:18px; }\r\n  \/* group boxes around each step *\/\r\n  .neura-pla .group rect{ fill:none; stroke:var(--line); stroke-width:1; transition:stroke .5s; }\r\n  .neura-pla .group.active rect{ stroke:var(--ink); }\r\n\r\n  .neura-pla .node rect{ fill:rgba(255,255,255,.015); stroke:var(--line); stroke-width:1; }\r\n  .neura-pla .node .ic{ stroke:var(--ink-2); fill:none; stroke-width:1; stroke-linecap:round; stroke-linejoin:round; }\r\n  .neura-pla .node.dashed rect{ stroke-dasharray:4 4; }\r\n  .neura-pla .wire{ fill:none; stroke:var(--line); stroke-width:1; }\r\n  .neura-pla .flow{ fill:none; stroke:var(--accent); stroke-width:1; stroke-dasharray:3 9; stroke-linecap:round; opacity:0; }\r\n  .neura-pla .particle{ fill:var(--accent); opacity:0; filter:url(#pla-glow); }\r\n  .neura-pla .tok{ fill:var(--ink-2); }\r\n  .neura-pla .bar{ stroke:var(--line); stroke-width:1; }\r\n  .neura-pla .knob{ fill:var(--ink-2); }\r\n  .neura-pla .hu-o{ stroke:var(--ink); fill:none; stroke-linecap:round; stroke-linejoin:round; }\r\n  .neura-pla .hu-i{ stroke:var(--bg); fill:none; stroke-linecap:round; stroke-linejoin:round; }\r\n  .neura-pla .hu-bone{ stroke:var(--ink-2); stroke-width:1; stroke-dasharray:1.5 2.5; fill:none; }\r\n  .neura-pla .hu-joint{ fill:var(--bg); stroke:var(--ink); stroke-width:1; }\r\n  .neura-pla .obj{ fill:rgba(111,182,255,.08); stroke:var(--ink-2); stroke-width:1; }\r\n  .neura-pla .shelf{ stroke:var(--ink-2); stroke-width:1; stroke-linecap:round; }\r\n  .neura-pla .ground{ stroke:var(--line); stroke-width:1; }\r\n  .neura-pla .grid{ fill:var(--ink-3); opacity:.25; }\r\n  \/* signal traces: the blue draws itself along wires and around boxes *\/\r\n  .neura-pla .trace{ fill:none; stroke:var(--accent); stroke-width:1.25; opacity:0; }\r\n  .neura-pla .trace.halo{ stroke-width:6; }\r\n  .neura-pla .bar-fill{ stroke:var(--accent); stroke-width:2; stroke-linecap:round; opacity:0; }\r\n  .neura-pla .ring{ fill:none; stroke:var(--accent); stroke-width:1; opacity:0; }\r\n  .neura-pla .tail{ fill:var(--accent); opacity:0; }\r\n  @media (prefers-reduced-motion: reduce){ .neura-pla .group rect{ transition:none; } }\r\n<\/style>\r\n<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"0\" height=\"0\" style=\"position:absolute\" aria-hidden=\"true\">\r\n  <defs>\r\n    <filter id=\"pla-glow\" x=\"-100%\" y=\"-100%\" width=\"300%\" height=\"300%\">\r\n      <fegaussianblur stddeviation=\"2.2\" result=\"b\"><\/fegaussianblur>\r\n      <femerge><femergenode in=\"b\"><\/femergenode><femergenode in=\"SourceGraphic\"><\/femergenode><\/femerge>\r\n    <\/filter>\r\n    <pattern id=\"pla-dots\" width=\"24\" height=\"24\" patternunits=\"userSpaceOnUse\">\r\n      <circle class=\"grid\" cx=\"1\" cy=\"1\" r=\"1\"><\/circle>\r\n    <\/pattern>\r\n    <marker id=\"pla-arrow\" viewbox=\"0 0 10 10\" refx=\"8\" refy=\"5\" markerwidth=\"8\" markerheight=\"8\" orient=\"auto-start-reverse\">\r\n      <path d=\"M1 1 L8 5 L1 9\" fill=\"none\" stroke=\"var(--line)\" stroke-width=\"1\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\r\n    <\/marker>\r\n    <marker id=\"pla-arrowOn\" viewbox=\"0 0 10 10\" refx=\"8\" refy=\"5\" markerwidth=\"8\" markerheight=\"8\" orient=\"auto-start-reverse\">\r\n      <path d=\"M1 1 L8 5 L1 9\" fill=\"none\" stroke=\"var(--accent)\" stroke-width=\"1\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\r\n    <\/marker>\r\n  <\/defs>\r\n<\/svg>\r\n\r\n<div class=\"stages\">\r\n  <div class=\"stage pla-stage-h\"><\/div>\r\n  <div class=\"stage vertical pla-stage-v\"><\/div>\r\n<\/div>\r\n<\/div>\r\n<script>\r\nfunction initPLA(root){\r\n\r\n  const ACCENT = '#6fb6ff';\r\n  const LINE   = 'rgba(242,244,247,.55)';\r\n  const TOK    = 'rgba(242,244,247,.62)';\r\n  const rad = d => d*Math.PI\/180;\r\n\r\n  \/* ---------------- content ---------------- *\/\r\n  const TITLES = ['Perception Layer','Language Model','Action Model'];\r\n  const INPUTS = [\r\n    { k:'vision',  label:'Vision',       icon:'<path d=\"M0 0c4-6 9-9 14-9s10 3 14 9c-4 6-9 9-14 9S4 6 0 0z\"\/><circle cx=\"14\" cy=\"0\" r=\"3.2\"\/>', io:[22,26] },\r\n    { k:'tactile', label:'Tactile',      icon:'<path d=\"M0 6a12 12 0 0 1 24 0\"\/><path d=\"M5 6a7 7 0 0 1 14 0\"\/><circle cx=\"12\" cy=\"6\" r=\"1.6\" fill=\"var(--ink-2)\"\/>', io:[26,26] },\r\n    { k:'audio',   label:'Audio',        icon:'<path d=\"M0 -4v8M6 -10v20M12 -6v12M18 -14v28M24 -5v10\"\/>', io:[26,26] },\r\n    { k:'state',   label:'Robot state',  icon:'<path d=\"M0 8 L10 -6 L20 4 L28 -8\"\/><circle cx=\"0\" cy=\"8\" r=\"2.4\"\/><circle cx=\"10\" cy=\"-6\" r=\"2.4\"\/><circle cx=\"20\" cy=\"4\" r=\"2.4\"\/><circle cx=\"28\" cy=\"-8\" r=\"2.4\"\/>', io:[24,26], dashed:true },\r\n    { k:'command', label:'User command', icon:'<path d=\"M0 -9h26a3 3 0 0 1 3 3v10a3 3 0 0 1-3 3H10l-6 5v-5H0z\"\/><path d=\"M7 -2h15M7 3h9\"\/>', io:[24,26] },\r\n  ];\r\n\r\n  \/* ---------------- layouts ---------------- *\/\r\n  \/\/ Spacing system: 24px padding inside every box, 20px between sibling elements, 40px box \u2192 Memory,\r\n  \/\/ 60px between step blocks, 62px arrows, 40px safe area around the desktop canvas (20px on mobile).\r\n  \/\/ hl = title baseline; description lines start +32 below it and advance by lh.\r\n  const H = {\r\n    cls:'desktop', lh:26, io:'lr', tokFrom:[0,.5], axis:'x',\r\n    viewBox:'-40 -40 1390 660', bg:{x:-40,y:-40,w:1390,h:660},\r\n    \/\/ all three boxes share top (0), height (474) and therefore centre line (237); titles at the same height\r\n    hl:[ {x:24,y:44}, {x:384,y:44}, {x:744,y:44} ],\r\n    desc:[ ['The robot sees, touches,','hears and knows its own','body, and takes your','command.'],\r\n           ['Combines every input in','one language space and','reasons about the','request.'],\r\n           ['Turns the decision into','precise, safe robot','motion.'] ],\r\n    groups:[ {x:0,y:0,w:300,h:474} ],\r\n    inputs: [182,254,326,398,494].map(y=>({x:24, y, w:252, h:52})),\r\n    wires: [208,280,352,424,520].map(y=>`M276 ${y} H306 C340 ${y} 326 237 360 237`),\r\n    lm:{x:360,y:0,w:300,h:474}, tok:{x0:392,y0:208,cols:13,rows:13,step:20},\r\n    mem:{x:360,y:494,w:300,h:52}, wMem:'M510 474 V494', wMemAm:'M660 520 H870 V474',   \/\/ same row as User command\r\n    am:{x:720,y:0,w:300,h:474}, bars:{x1:744,x2:996,ys:[302,322,342]},\r\n    wLmAm:'M660 237 H720', wOut:'M1020 237 H1082',\r\n    robot:{ox:-40,oy:-122}, outLabel:{x:1205,y:330},   \/\/ robot section centred on the arrow (y 237)\r\n  };\r\n  \/\/ Mobile: one element per row on a 350px-wide column.\r\n  const V = {\r\n    cls:'mobile', lh:24, io:'tb', tokFrom:[.5,0], axis:'y',\r\n    viewBox:'-20 -20 390 1530', bg:{x:-20,y:-20,w:390,h:1530},\r\n    hl:[ {x:24,y:44}, {x:24,y:618}, {x:24,y:1000} ],\r\n    desc:[ ['The robot sees, touches, hears','and knows its own body,','and takes your command.'],\r\n           ['Combines every input in one','language space and reasons','about the request.'],\r\n           ['Turns the decision into','precise, safe robot motion.'] ],\r\n    groups:[ {x:0,y:0,w:350,h:442} ],\r\n    inputs: [150,222,294,366,462].map(y=>({x:24, y, w:240, h:52})),\r\n    wires: [176,248,320,392,488].map(cy=>`M264 ${cy} H314 V540 C314 566 175 552 175 574`),\r\n    lm:{x:0,y:574,w:350,h:250}, tok:{x0:55,y0:718,cols:13,rows:4,step:20},\r\n    mem:{x:50,y:864,w:250,h:52}, wMem:'M175 824 V864', wMemAm:'M175 916 V956',\r\n    am:{x:0,y:956,w:350,h:206}, bars:{x1:55,x2:295,ys:[1094,1114,1134]},\r\n    wLmAm:'M25 824 V956', wOut:'M175 1162 V1224',\r\n    robot:{ox:-1045,oy:1008}, outLabel:{x:200,y:1460},\r\n  };\r\n\r\n  \/* ---------------- builder ---------------- *\/\r\n  \/\/ Two border paths that start where the signal enters a box and meet where it leaves.\r\n  function halves(b, io, k){\r\n    const {x,y,w,h}=b, r=4, cx=x+w\/2, cy=y+h\/2;\r\n    const d = io==='lr' ? [\r\n      `M${x} ${cy} V${y+r} A${r} ${r} 0 0 1 ${x+r} ${y} H${x+w-r} A${r} ${r} 0 0 1 ${x+w} ${y+r} V${cy}`,\r\n      `M${x} ${cy} V${y+h-r} A${r} ${r} 0 0 0 ${x+r} ${y+h} H${x+w-r} A${r} ${r} 0 0 0 ${x+w} ${y+h-r} V${cy}` ] : [\r\n      `M${cx} ${y} H${x+r} A${r} ${r} 0 0 0 ${x} ${y+r} V${y+h-r} A${r} ${r} 0 0 0 ${x+r} ${y+h} H${cx}`,\r\n      `M${cx} ${y} H${x+w-r} A${r} ${r} 0 0 1 ${x+w} ${y+r} V${y+h-r} A${r} ${r} 0 0 1 ${x+w-r} ${y+h} H${cx}` ];\r\n    return d.map(p=>`<path class=\"trace halo h-${k}\" d=\"${p}\"\/>`).join('') + d.map(p=>`<path class=\"trace b-${k}\" d=\"${p}\"\/>`).join('');\r\n  }\r\n\r\n  function build(container, L){\r\n    const R = L.robot, ox=R.ox, oy=R.oy;\r\n    const hl = TITLES.map((t,i)=>`\r\n      <g class=\"hl\" data-step=\"${i}\">\r\n        <text class=\"hl-t\" x=\"${L.hl[i].x}\" y=\"${L.hl[i].y}\">${t}<\/text>\r\n        ${L.desc[i].map((line,j)=>`<text class=\"hl-d\" x=\"${L.hl[i].x}\" y=\"${L.hl[i].y+32+j*L.lh}\">${line}<\/text>`).join('')}\r\n      <\/g>`).join('');\r\n    const groups = L.groups.map((g,i)=>`<g class=\"group\" data-step=\"${i}\"><rect x=\"${g.x}\" y=\"${g.y}\" width=\"${g.w}\" height=\"${g.h}\" rx=\"6\"\/><\/g>`).join('');\r\n    const inputs = INPUTS.map((inp,i)=>{ const r=L.inputs[i]; return `\r\n      <g class=\"node input in-${inp.k}${inp.dashed?' dashed':''}\">\r\n        <rect x=\"${r.x}\" y=\"${r.y}\" width=\"${r.w}\" height=\"${r.h}\" rx=\"4\"\/>\r\n        <g class=\"ic\" transform=\"translate(${r.x+inp.io[0]},${r.y+inp.io[1]})\">${inp.icon}<\/g>\r\n        <text class=\"t-label\" x=\"${r.x+62}\" y=\"${r.y+33}\">${inp.label}<\/text>\r\n      <\/g>`; }).join('');\r\n    const wires = INPUTS.map((inp,i)=>`<path class=\"wire w-in\" data-k=\"${inp.k}\" d=\"${L.wires[i]}\"\/>`).join('') +\r\n                  INPUTS.map((inp,i)=>`<path class=\"flow f-in\" data-k=\"${inp.k}\" d=\"${L.wires[i]}\"\/>`).join('');\r\n    const bars = L.bars.ys.map((y,i)=>`<line class=\"bar\" x1=\"${L.bars.x1}\" y1=\"${y}\" x2=\"${L.bars.x2}\" y2=\"${y}\"\/><line class=\"bar-fill\" x1=\"${L.bars.x1}\" y1=\"${y}\" x2=\"${[L.bars.x1+88, L.bars.x1+148, L.bars.x1+48][i]}\" y2=\"${y}\"\/><circle class=\"knob\" cx=\"${[L.bars.x1+88, L.bars.x1+148, L.bars.x1+48][i]}\" cy=\"${y}\" r=\"3.2\"\/>`).join('');\r\n    container.innerHTML = `\r\n<svg class=\"${L.cls}\" viewBox=\"${L.viewBox}\" width=\"${L.bg.w}\" height=\"${L.bg.h}\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" role=\"img\" aria-label=\"Schematic: vision, tactile, audio, robot state and user command flow into a language model with memory, then into an action model, which sends control commands to a humanoid robot that picks up a box and places it on a shelf.\">\r\n  <rect x=\"${L.bg.x}\" y=\"${L.bg.y}\" width=\"${L.bg.w}\" height=\"${L.bg.h}\" fill=\"url(#pla-dots)\"\/>\r\n  ${groups}\r\n  ${hl}\r\n  <g class=\"wires-in\">${wires}<\/g>\r\n  <g class=\"traces\">\r\n    ${INPUTS.map((inp,i)=>`<path class=\"trace t-in\" data-k=\"${inp.k}\" d=\"${L.wires[i]}\"\/>`).join('')}\r\n    <path class=\"trace t-lm-am\" d=\"${L.wLmAm}\"\/>\r\n    <path class=\"trace t-out\" d=\"${L.wOut}\"\/>\r\n  <\/g>\r\n  <path class=\"wire w-mem\" d=\"${L.wMem}\" stroke-dasharray=\"3 4\"\/>\r\n  <path class=\"wire w-mem-am\" d=\"${L.wMemAm}\" stroke-dasharray=\"3 4\" marker-end=\"url(#pla-arrow)\"\/>\r\n  <path class=\"wire w-lm-am\" d=\"${L.wLmAm}\" marker-end=\"url(#pla-arrow)\"\/>\r\n  <path class=\"wire w-out\" d=\"${L.wOut}\" marker-end=\"url(#pla-arrow)\"\/>\r\n  <path class=\"flow f-lm-am\" d=\"${L.wLmAm}\"\/>\r\n  <path class=\"flow f-out\" d=\"${L.wOut}\"\/>\r\n  ${inputs}\r\n  <g class=\"node lm\">\r\n    <rect class=\"lm-rect\" x=\"${L.lm.x}\" y=\"${L.lm.y}\" width=\"${L.lm.w}\" height=\"${L.lm.h}\" rx=\"4\"\/>\r\n    ${halves(L.lm, L.io, 'lm')}\r\n    <g class=\"tokens\"><\/g>\r\n  <\/g>\r\n  <g class=\"node mem\">\r\n    <rect x=\"${L.mem.x}\" y=\"${L.mem.y}\" width=\"${L.mem.w}\" height=\"${L.mem.h}\" rx=\"4\"\/>\r\n    <g class=\"ic\" transform=\"translate(${L.mem.x+L.mem.w\/2-48},${L.mem.y+26})\"><circle cx=\"0\" cy=\"0\" r=\"7\"\/><path d=\"M0 -4v4l3 2\"\/><\/g>\r\n    <text class=\"t-label\" x=\"${L.mem.x+L.mem.w\/2-30}\" y=\"${L.mem.y+33}\">Memory<\/text>\r\n  <\/g>\r\n  <circle class=\"particle p-mem\" r=\"3\"\/>\r\n  <circle class=\"particle p-mem2\" r=\"3\"\/>\r\n  <g class=\"node am\">\r\n    <rect class=\"am-rect\" x=\"${L.am.x}\" y=\"${L.am.y}\" width=\"${L.am.w}\" height=\"${L.am.h}\" rx=\"4\"\/>\r\n    ${halves(L.am, L.io, 'am')}\r\n    <g class=\"bars\">${bars}<\/g>\r\n  <\/g>\r\n  <circle class=\"particle p-lmam\" r=\"3.4\"\/>\r\n  <g class=\"out\">\r\n    <line class=\"ground\" x1=\"${1140+ox}\" y1=\"${420+oy}\" x2=\"${1350+ox}\" y2=\"${420+oy}\"\/>\r\n    <g class=\"shelf-g\">\r\n      <line class=\"shelf\" x1=\"${1280+ox}\" y1=\"${326+oy}\" x2=\"${1280+ox}\" y2=\"${420+oy}\"\/>\r\n      <line class=\"shelf\" x1=\"${1326+ox}\" y1=\"${326+oy}\" x2=\"${1326+ox}\" y2=\"${420+oy}\"\/>\r\n      <line class=\"shelf\" x1=\"${1280+ox}\" y1=\"${345+oy}\" x2=\"${1326+ox}\" y2=\"${345+oy}\"\/>\r\n      <line class=\"shelf\" x1=\"${1280+ox}\" y1=\"${385+oy}\" x2=\"${1326+ox}\" y2=\"${385+oy}\"\/>\r\n      <rect class=\"obj\" x=\"${1288+ox}\" y=\"${401+oy}\" width=\"16\" height=\"16\" rx=\"1.5\" opacity=\".45\"\/>\r\n    <\/g>\r\n    <g class=\"hu\">\r\n      <!-- side-view mannequin: two slightly offset legs, pelvis, thorax, neck, head, one arm with hand -->\r\n      <line class=\"hu-o thL-o\" style=\"stroke-width:11\"\/><line class=\"hu-o shL-o\" style=\"stroke-width:9\"\/>\r\n      <line class=\"hu-o thR-o\" style=\"stroke-width:11\"\/><line class=\"hu-o shR-o\" style=\"stroke-width:9\"\/>\r\n      <line class=\"hu-o\" x1=\"${1194+ox}\" y1=\"${413+oy}\" x2=\"${1216+ox}\" y2=\"${413+oy}\" style=\"stroke-width:6\"\/>\r\n      <line class=\"hu-i thL-i\" style=\"stroke-width:9\"\/><line class=\"hu-i shL-i\" style=\"stroke-width:7\"\/>\r\n      <line class=\"hu-i thR-i\" style=\"stroke-width:9\"\/><line class=\"hu-i shR-i\" style=\"stroke-width:7\"\/>\r\n      <line class=\"hu-i\" x1=\"${1194+ox}\" y1=\"${413+oy}\" x2=\"${1216+ox}\" y2=\"${413+oy}\" style=\"stroke-width:4\"\/>\r\n      <line class=\"hu-o pelvis-o\" style=\"stroke-width:18\"\/><line class=\"hu-i pelvis-i\" style=\"stroke-width:16\"\/>\r\n      <line class=\"hu-o thorax-o\" style=\"stroke-width:22\"\/><line class=\"hu-i thorax-i\" style=\"stroke-width:20\"\/>\r\n      <line class=\"hu-o neck-o\" style=\"stroke-width:7\"\/><line class=\"hu-i neck-i\" style=\"stroke-width:5\"\/>\r\n      <ellipse class=\"hu-o head-o\" rx=\"8\" ry=\"11\" style=\"stroke-width:1\"\/>\r\n      <ellipse class=\"head-i\" rx=\"7.5\" ry=\"10.5\" fill=\"var(--bg)\"\/>\r\n      <line class=\"hu-o seg1-o\" style=\"stroke-width:9\"\/><line class=\"hu-o seg2-o\" style=\"stroke-width:8\"\/>\r\n      <line class=\"hu-i seg1-i\" style=\"stroke-width:7\"\/><line class=\"hu-i seg2-i\" style=\"stroke-width:6\"\/>\r\n      <line class=\"hu-o palm-o\" style=\"stroke-width:6\"\/><line class=\"hu-i palm-i\" style=\"stroke-width:4\"\/>\r\n      <g class=\"fingers\"><line class=\"hu-o\" style=\"stroke-width:1\"\/><line class=\"hu-o\" style=\"stroke-width:1\"\/><line class=\"hu-o\" style=\"stroke-width:1\"\/><line class=\"hu-o\" style=\"stroke-width:1\"\/><\/g>\r\n      <line class=\"hu-o thumb\" style=\"stroke-width:1\"\/>\r\n      <line class=\"hu-bone thL-b\"\/><line class=\"hu-bone shL-b\"\/><line class=\"hu-bone thR-b\"\/><line class=\"hu-bone shR-b\"\/>\r\n      <line class=\"hu-bone pelvis-b\"\/><line class=\"hu-bone thorax-b\"\/><line class=\"hu-bone neck-b\"\/><line class=\"hu-bone seg1-b\"\/><line class=\"hu-bone seg2-b\"\/>\r\n      <circle class=\"hu-joint hipL\" r=\"2.4\"\/><circle class=\"hu-joint hipR\" r=\"2.4\"\/>\r\n      <circle class=\"hu-joint kneeL\" r=\"2.4\"\/><circle class=\"hu-joint kneeR\" r=\"2.4\"\/>\r\n      <circle class=\"hu-joint\" cx=\"${1198+ox}\" cy=\"${410+oy}\" r=\"2.4\"\/><circle class=\"hu-joint\" cx=\"${1202+ox}\" cy=\"${410+oy}\" r=\"2.4\"\/>\r\n      <circle class=\"hu-joint waist\" r=\"2.4\"\/><circle class=\"hu-joint j0\" r=\"2.4\"\/><circle class=\"hu-joint j1\" r=\"2.4\"\/><circle class=\"hu-joint j2\" r=\"2.4\"\/>\r\n    <\/g>\r\n    <rect class=\"obj box\" x=\"${1238+ox}\" y=\"${402+oy}\" width=\"18\" height=\"18\" rx=\"2\"\/>\r\n    <circle class=\"ring\" cx=\"${1297+ox}\" cy=\"${336+oy}\" r=\"6\"\/>\r\n    <text class=\"t-out\" x=\"${L.outLabel.x}\" y=\"${L.outLabel.y}\" text-anchor=\"middle\">Robot control<\/text>\r\n    <text class=\"t-out\" x=\"${L.outLabel.x}\" y=\"${L.outLabel.y+L.lh}\" text-anchor=\"middle\">commands<\/text>\r\n  <\/g>\r\n  <g class=\"particles\"><\/g>\r\n<\/svg>`;\r\n\r\n    const root = container.querySelector('svg');\r\n    const $  = s => root.querySelector(s);\r\n    const $$ = s => Array.from(root.querySelectorAll(s));\r\n    const svgNS = 'http:\/\/www.w3.org\/2000\/svg';\r\n\r\n    \/\/ token grid\r\n    const tokG = $('.tokens'), T = L.tok;\r\n    for (let r=0; r<T.rows; r++) for (let c=0; c<T.cols; c++){\r\n      const dot = document.createElementNS(svgNS,'circle');\r\n      dot.setAttribute('class','tok'); dot.setAttribute('cx', T.x0 + c*T.step); dot.setAttribute('cy', T.y0 + r*T.step); dot.setAttribute('r', 2.2);\r\n      tokG.appendChild(dot);\r\n    }\r\n    \/\/ particles\r\n    const partG = $('.particles'), particles = {};\r\n    INPUTS.forEach(inp=>{\r\n      particles[inp.k] = [];\r\n      for (let i=0;i<3;i++){ const p=document.createElementNS(svgNS,'circle'); p.setAttribute('class','particle'); p.setAttribute('r',2.6); partG.appendChild(p); particles[inp.k].push(p); }\r\n    });\r\n    const outParts = [];\r\n    for (let i=0;i<4;i++){ const p=document.createElementNS(svgNS,'circle'); p.setAttribute('class','particle'); p.setAttribute('r',2.6); partG.appendChild(p); outParts.push(p); }\r\n    $$('.particle').forEach(p=>{\r\n      p._tails=[1.9,1.3].map(r=>{ const t=document.createElementNS(svgNS,'circle'); t.setAttribute('class','tail'); t.setAttribute('r',r); partG.appendChild(t); return t; });\r\n    });\r\n    $$('.trace').forEach(el=>{\r\n      let len=0; try{ len=el.getTotalLength(); }catch(e){}\r\n      el._len=(len||1500)+2; el.style.strokeDasharray=el._len+' '+el._len; el.style.strokeDashoffset=el._len;\r\n    });\r\n\r\n    \/* ---- humanoid (8-head proportions, side view) ---- *\/\r\n    \/\/ floor 416 \u00b7 ankle 410 \u00b7 hip 328 \u00b7 waist 306 \u00b7 shoulder 272 \u00b7 chin 262 \u00b7 crown 240\r\n    const HIP0={x:1200+ox, y:328+oy}, PELV=22, THOR=34, NECK=10, HEADR=11, L1=44, L2=36, PALM=9, FING=7, TH=42, SH=40;\r\n    const IDLE = { lean:0, drop:0, tx:1204+ox, ty:350+oy, grip:24, look:0 };\r\n    const bot = Object.assign({holding:false}, IDLE);\r\n    const setLine=(sel,a,b)=>{ const l=(typeof sel==='string')?$(sel):sel; l.setAttribute('x1',a.x); l.setAttribute('y1',a.y); l.setAttribute('x2',b.x); l.setAttribute('y2',b.y); };\r\n    const setC=(sel,p)=>{ const c=$(sel); c.setAttribute('cx',p.x); c.setAttribute('cy',p.y); };\r\n    const tube=(name,a,b)=>{ setLine('.'+name+'-o',a,b); setLine('.'+name+'-i',a,b); setLine('.'+name+'-b',a,b); };\r\n    function legIK(A, Hh, side){\r\n      let dx=Hh.x-A.x, dy=A.y-Hh.y, d=Math.hypot(dx,dy); const dmax=TH+SH-.5;\r\n      if (d>dmax){ dx*=dmax\/d; dy*=dmax\/d; d=dmax; }\r\n      const phi=Math.atan2(dy,dx), a=Math.acos(Math.max(-1,Math.min(1,(d*d+SH*SH-TH*TH)\/(2*d*SH)))), ang=phi-a;\r\n      const K={x:A.x+SH*Math.cos(ang), y:A.y-SH*Math.sin(ang)}, Hp={x:A.x+dx, y:A.y-dy};\r\n      tube('th'+side,Hp,K); tube('sh'+side,K,A);\r\n      setC('.hip'+side,Hp); setC('.knee'+side,K);\r\n    }\r\n    function drawBot(){\r\n      const HIP={x:HIP0.x, y:HIP0.y+bot.drop};\r\n      legIK({x:1198+ox,y:410+oy},{x:HIP.x-2,y:HIP.y},'L');\r\n      legIK({x:1202+ox,y:410+oy},{x:HIP.x+2,y:HIP.y},'R');\r\n      \/\/ pelvis leans half as much as the thorax \u2014 the bend is distributed over the spine\r\n      const dP={x:Math.sin(rad(bot.lean*.5)), y:-Math.cos(rad(bot.lean*.5))};\r\n      const dT={x:Math.sin(rad(bot.lean)),    y:-Math.cos(rad(bot.lean))};\r\n      const W={x:HIP.x+PELV*dP.x, y:HIP.y+PELV*dP.y};\r\n      const S={x:W.x+THOR*dT.x, y:W.y+THOR*dT.y};\r\n      const N={x:S.x+NECK*dT.x, y:S.y+NECK*dT.y};\r\n      const Hd={x:N.x+(HEADR-1)*dT.x, y:N.y+(HEADR-1)*dT.y};\r\n      tube('pelvis',HIP,W); tube('thorax',W,S); tube('neck',S,N);\r\n      setC('.waist',W); setC('.j0',S);\r\n      setC('.head-o',Hd); setC('.head-i',Hd);\r\n      ['.head-o','.head-i'].forEach(c=>$(c).setAttribute('transform',`rotate(${bot.lean+(bot.look||0)} ${Hd.x} ${Hd.y})`));\r\n      \/\/ arm IK\r\n      let dx=bot.tx-S.x, dy=S.y-bot.ty, d=Math.hypot(dx,dy); const dmax=L1+L2-.5;\r\n      if (d>dmax){ dx*=dmax\/d; dy*=dmax\/d; d=dmax; }\r\n      const phi=Math.atan2(dy,dx), a=Math.acos(Math.max(-1,Math.min(1,(d*d+L1*L1-L2*L2)\/(2*d*L1)))), a1=phi-a;   \/\/ elbow bends back toward the body\r\n      const E={x:S.x+L1*Math.cos(a1), y:S.y-L1*Math.sin(a1)}, Wp={x:S.x+dx, y:S.y-dy};\r\n      const a2=Math.atan2(E.y-Wp.y, Wp.x-E.x);\r\n      tube('seg1',S,E); tube('seg2',E,Wp);\r\n      setC('.j1',E); setC('.j2',Wp);\r\n      const ux=Math.cos(a2), uy=-Math.sin(a2), Pe={x:Wp.x+PALM*ux, y:Wp.y+PALM*uy};\r\n      setLine('.palm-o',Wp,Pe); setLine('.palm-i',Wp,Pe);\r\n      const spread=rad(bot.grip)\/2.2, curl=rad(60-bot.grip*2.2);\r\n      $$('.fingers line').forEach((f,i)=>{ const ang=a2-curl+spread*(i-1.5); setLine(f,Pe,{x:Pe.x+FING*Math.cos(ang), y:Pe.y-FING*Math.sin(ang)}); });\r\n      const Tb={x:Wp.x+3*ux, y:Wp.y+3*uy}, tang=a2+rad(25+bot.grip*1.6);\r\n      setLine('.thumb',Tb,{x:Tb.x+6*Math.cos(tang), y:Tb.y-6*Math.sin(tang)});\r\n      if (bot.holding){ const cx=Pe.x+8*ux, cy=Pe.y+8*uy, o=$('.box'); o.setAttribute('x',cx-9); o.setAttribute('y',cy-9); }\r\n    }\r\n    const setBox=(x,y)=>{ const o=$('.box'); o.setAttribute('x',x+ox); o.setAttribute('y',y+oy); };\r\n    function resetBot(){ Object.assign(bot, IDLE, {holding:false}); setBox(1238,402); drawBot(); }\r\n    resetBot();\r\n\r\n    const setStep = n => { $$('.hl').forEach((el,i)=>el.classList.toggle('active', i<=n)); $$('.group').forEach((el,i)=>el.classList.toggle('active', i<=n)); };   \/\/ additive: earlier steps stay lit\r\n\r\n    return { $, $$, particles, outParts, bot, IDLE, drawBot, resetBot, setBox, setStep, ox, oy, grid:[L.tok.rows, L.tok.cols],\r\n             tokFrom:L.tokFrom, axis:L.axis, x1:L.bars.x1, box:$('.box'), ring:$('.ring'), floorY:402+oy, shelf:{x:1288+ox, y:327+oy} };\r\n  }\r\n\r\n  const ctxs = [ build(root.querySelector('.pla-stage-h'), H), build(root.querySelector('.pla-stage-v'), V) ];\r\n  \/\/ No GSAP (blocked CDN, old theme build)? The diagram still renders \u2014 fully readable, just static.\r\n  if (!window.gsap || !window.MotionPathPlugin || typeof gsap.registerPlugin!=='function') return;\r\n  gsap.registerPlugin(MotionPathPlugin);\r\n  const each = fn => ctxs.forEach(fn);\r\n  const all  = sel => ctxs.flatMap(c=>c.$$(sel));\r\n\r\n  const INK2 = 'rgba(242,244,247,.62)';\r\n  const KN0  = [88,148,48];                                            \/\/ resting slider values\r\n  const KN   = [[180,36,160],[70,200,110],[214,96,40],[120,150,196]];  \/\/ one control set per robot motion phase\r\n\r\n  const reduce = window.matchMedia('(prefers-reduced-motion: reduce)').matches;\r\n  if (reduce){\r\n    gsap.set(all('.b-lm, .b-am'), {opacity:1, strokeDashoffset:0});\r\n    gsap.set(all('.h-lm, .h-am'), {opacity:.14, strokeDashoffset:0});\r\n    gsap.set(all('.tok'), {fill:ACCENT, opacity:.7});\r\n    each(c=>{\r\n      gsap.set(c.$$('.knob'), {attr:{cx:i=>KN[0][i]+c.x1}, fill:ACCENT});\r\n      gsap.set(c.$$('.bar-fill'), {opacity:1, attr:{x2:i=>KN[0][i]+c.x1}});\r\n      c.setBox(1288,327); Object.assign(c.bot,{lean:35,drop:0,tx:1284+c.ox,ty:322+c.oy,grip:24}); c.drawBot();\r\n      c.$$('.hl, .group').forEach(el=>el.classList.add('active'));\r\n    });\r\n    return;\r\n  }\r\n\r\n  \/* ---------------- master timeline (drives both diagrams) ---------------- *\/\r\n  const tl = gsap.timeline({ paused:true, repeat:-1, defaults:{ ease:'power2.out' }, onRepeat: hardReset });\r\n  tl.timeScale(1.25);\r\n  function hardReset(){\r\n    gsap.set(all('.node rect'), {stroke:LINE});\r\n    gsap.set(all('.node .ic'), {stroke:INK2});\r\n    gsap.set(all('.tok'), {fill:TOK, opacity:1, scale:1, transformOrigin:'50% 50%'});\r\n    gsap.set(all('.flow'), {opacity:0});\r\n    gsap.set(all('.wire'), {stroke:LINE});\r\n    gsap.set(all('.trace'), {opacity:0, strokeDashoffset:(i,el)=>el._len});\r\n    gsap.set(all('.w-lm-am, .w-out'), {attr:{'marker-end':'url(#pla-arrow)'}});\r\n    gsap.set(all('.particle, .tail'), {autoAlpha:0});\r\n    gsap.set(all('.ring'), {opacity:0, attr:{r:6}});\r\n    gsap.set(all('.box'), {stroke:INK2, opacity:0});\r\n    each(c=>{\r\n      gsap.set(c.$$('.knob'), {attr:{cx:i=>KN0[i]+c.x1}, fill:INK2});\r\n      gsap.set(c.$$('.bar-fill'), {opacity:0, attr:{x2:i=>KN0[i]+c.x1}});\r\n      c.resetBot(); c.setStep(-1);\r\n    });\r\n  }\r\n  hardReset();\r\n  const setStepAll = n => each(c=>c.setStep(n));\r\n  \/\/ draw a trace on from its start to its end\r\n  const draw = (els, t, dur, op=1, ease='power2.inOut') =>\r\n    tl.fromTo(els, {opacity:op, strokeDashoffset:(i,el)=>el._len}, {strokeDashoffset:0, duration:dur, ease, immediateRender:false}, t);\r\n  \/\/ send a particle (with its comet tail) along a path\r\n  const fly = (p, path, t, dur, ease='power1.inOut', dir={}) => {\r\n    [p, ...p._tails].forEach((q,k)=>{\r\n      const s=t+k*.035;\r\n      tl.fromTo(q, {autoAlpha:0}, {autoAlpha:[1,.5,.25][k], duration:.1, immediateRender:false}, s);\r\n      tl.to(q, {motionPath:Object.assign({path, align:path, alignOrigin:[.5,.5]}, dir), duration:dur, ease, lazy:false}, s);\r\n      tl.to(q, {autoAlpha:0, duration:.12}, s+dur-.1);\r\n    });\r\n  };\r\n\r\n  \/* Beat 0 \u2014 a new box lands on the floor: a fresh task for every loop *\/\r\n  each(c=>tl.fromTo(c.box, {opacity:0, attr:{y:c.floorY-18}}, {opacity:1, attr:{y:c.floorY}, duration:.6, ease:'bounce.out', immediateRender:false}, 0));\r\n\r\n  \/* Beat 1 \u2014 perceive: each sensor fires in turn, the signal traces its wire into the language model *\/\r\n  tl.call(setStepAll, [0], 0);\r\n  INPUTS.forEach((inp,i)=>{\r\n    const t=i*.12, k=inp.k;\r\n    tl.to(all(`.in-${k} rect, .in-${k} .ic`), {stroke:ACCENT, duration:.25}, t);\r\n    draw(all(`.t-in[data-k=\"${k}\"]`), t+.1, .9);\r\n    each(c=>{ const path=c.$(`.w-in[data-k=\"${k}\"]`); c.particles[k].forEach((p,j)=>fly(p, path, t+.25+j*.22, 1.0)); });\r\n    tl.to(all(`.in-${k} rect`), {stroke:LINE, duration:.5}, 2.0+i*.05);\r\n    tl.to(all(`.in-${k} .ic`), {stroke:INK2, duration:.5}, 2.0+i*.05);\r\n  });\r\n  tl.to(all('.t-in'), {opacity:0, duration:.45}, 2.1);\r\n\r\n  \/\/ first data arrives: the border lights from the entry point around to the exit, tokens ripple out from where it entered\r\n  const L1 = 1.15;\r\n  tl.call(setStepAll, [1], L1);\r\n  draw(all('.b-lm'), L1, .8); draw(all('.h-lm'), L1, .8, .14);\r\n  each(c=>{\r\n    const toks=c.$$('.tok'), st={each:.03, grid:c.grid, from:c.tokFrom};\r\n    tl.to(toks, {fill:ACCENT, opacity:1, scale:1.6, duration:.22, stagger:st}, L1+.1);\r\n    tl.to(toks, {opacity:.45, scale:1, duration:.4, stagger:st}, L1+.35);\r\n  });\r\n\r\n  \/* Beat 2 \u2014 reason: tokens spark while the model consults memory, then the decision sweeps to the exit *\/\r\n  const B2 = 2.3;\r\n  each(c=>{\r\n    const toks=c.$$('.tok');\r\n    tl.to(toks, {opacity:1, scale:1.35, duration:.16, yoyo:true, repeat:1, stagger:{amount:1.2, from:'random'}}, B2);\r\n    const wm=c.$('.w-mem'), pm=c.$('.p-mem');\r\n    fly(pm, wm, B2+.35, .4);\r\n    fly(pm, wm, B2+.95, .4, 'power1.inOut', {start:1, end:0});\r\n    const D=B2+1.45, sw={each:c.axis==='x'?.035:.09, grid:c.grid, from:'start', axis:c.axis};\r\n    tl.to(toks, {opacity:1, scale:1.45, duration:.2, stagger:sw}, D);\r\n    tl.to(toks, {opacity:.7, scale:1, duration:.35, stagger:sw}, D+.2);\r\n  });\r\n  tl.to(all('.w-mem'), {stroke:ACCENT, duration:.25}, B2+.3);\r\n  tl.to(all('.mem rect, .mem .ic'), {stroke:ACCENT, duration:.25}, B2+.7);\r\n\r\n  \/* Beat 3 \u2014 hand-over: decision and memory flow into the action model *\/\r\n  const B3 = 4.2;\r\n  draw(all('.t-lm-am'), B3, .35, 1, 'power2.in');\r\n  tl.set(all('.w-lm-am'), {attr:{'marker-end':'url(#pla-arrowOn)'}}, B3+.3);\r\n  tl.to(all('.w-mem-am'), {stroke:ACCENT, duration:.25}, B3);\r\n  each(c=>{ fly(c.$('.p-lmam'), c.$('.w-lm-am'), B3, .4, 'power2.in'); fly(c.$('.p-mem2'), c.$('.w-mem-am'), B3+.05, .7); });\r\n  tl.to(all('.w-mem, .w-mem-am, .mem rect'), {stroke:LINE, duration:.5}, B3+.9);\r\n  tl.to(all('.mem .ic'), {stroke:INK2, duration:.5}, B3+.9);\r\n  const A1 = B3+.35;\r\n  tl.call(setStepAll, [2], A1);\r\n  draw(all('.b-am'), A1, .7); draw(all('.h-am'), A1, .7, .14);\r\n  tl.to(all('.knob'), {fill:ACCENT, duration:.3, stagger:.06}, A1+.4);\r\n  tl.to(all('.bar-fill'), {opacity:1, duration:.3, stagger:.06}, A1+.4);\r\n\r\n  \/* Beat 4 \u2014 act: one command pulse per motion phase; each lands just before the robot moves *\/\r\n  const R = A1+1.0;\r\n  const PH = [R, R+1.25, R+2.05, R+3.0];\r\n  draw(all('.t-out'), R-.55, .35, 1, 'power2.in');\r\n  tl.set(all('.w-out'), {attr:{'marker-end':'url(#pla-arrowOn)'}}, R-.25);\r\n  each(c=>{\r\n    const w=c.$('.w-out');\r\n    PH.forEach((ph,j)=>{\r\n      const s=ph-.45;\r\n      fly(c.outParts[j], w, s, .4, 'power1.in');\r\n      tl.to(c.$$('.knob'),     {attr:{cx:i=>KN[j][i]+c.x1}, duration:.5, ease:'power3.inOut', stagger:.06}, s);\r\n      tl.to(c.$$('.bar-fill'), {attr:{x2:i=>KN[j][i]+c.x1}, duration:.5, ease:'power3.inOut', stagger:.06}, s);\r\n    });\r\n    \/\/ humanoid: look down + squat, grasp, stand, reach to the shelf, place, release, return\r\n    const b=c.bot, d=c.drawBot, ox=c.ox, oy=c.oy;\r\n    tl.to(b, {lean:50, drop:40, look:18, tx:1247+ox, ty:392+oy, duration:.9, ease:'power3.inOut', onUpdate:d}, PH[0]);\r\n    tl.to(b, {grip:9, duration:.25, ease:'power2.inOut', onUpdate:d, onComplete:()=>{ b.holding=true; d(); }}, PH[0]+.9);\r\n    tl.to(c.box, {stroke:ACCENT, duration:.2}, PH[0]+.95);                     \/\/ box is \"in the system's hands\"\r\n    tl.to(b, {lean:18, drop:0, look:4, tx:1246+ox, ty:310+oy, duration:.8, ease:'power2.inOut', onUpdate:d}, PH[1]);\r\n    tl.to(b, {lean:35, look:12, tx:1284+ox, ty:322+oy, duration:.6, ease:'power2.inOut', onUpdate:d}, PH[2]);\r\n    tl.to(b, {grip:24, duration:.3, ease:'power2.inOut', onUpdate:d, onStart:()=>{ b.holding=false; }}, PH[2]+.65);\r\n    tl.to(c.box, {attr:{x:c.shelf.x, y:c.shelf.y}, duration:.3, ease:'bounce.out'}, PH[2]+.65);   \/\/ settles onto the shelf\r\n    tl.fromTo(c.ring, {opacity:.9, attr:{r:6}}, {opacity:0, attr:{r:28}, duration:.9, ease:'power2.out', immediateRender:false}, PH[2]+.8);\r\n    tl.to(c.box, {stroke:INK2, duration:.5}, PH[3]);\r\n    tl.to(b, {lean:0, drop:0, look:0, tx:c.IDLE.tx, ty:c.IDLE.ty, duration:.7, ease:'power2.inOut', onUpdate:d}, PH[3]);\r\n  });\r\n  tl.to(all('.t-lm-am'), {opacity:0, duration:.4}, R-.2);\r\n  tl.to(all('.t-out'), {opacity:0, duration:.4}, PH[3]+.3);\r\n\r\n  \/* end: blue fades back to white, the placed box clears, short breath, loop *\/\r\n  const E = PH[3]+.75;\r\n  tl.call(setStepAll, [-1], E);\r\n  tl.set(all('.w-out, .w-lm-am'), {attr:{'marker-end':'url(#pla-arrow)'}}, E);\r\n  tl.to(all('.b-lm, .b-am, .h-lm, .h-am, .bar-fill'), {opacity:0, duration:.45}, E);\r\n  tl.to(all('.tok'), {fill:TOK, opacity:1, scale:1, duration:.45}, E);\r\n  tl.to(all('.knob'), {fill:INK2, duration:.45}, E);\r\n  tl.to(all('.box'), {opacity:0, duration:.4}, E);\r\n  tl.to({}, {duration:.35}, E+.45);\r\n\r\n  \/* play only while the diagram is on screen; the first view always starts at beat 1 *\/\r\n  if ('IntersectionObserver' in window){\r\n    let started=false;\r\n    new IntersectionObserver(es=>es.forEach(e=>{\r\n      if (e.isIntersecting){ if (!started){ started=true; tl.restart(); } else tl.play(); }\r\n      else tl.pause();\r\n    }), {threshold:.2}).observe(root);\r\n  } else tl.play();\r\n}\r\n\r\n\/* ---- bootstrap: load GSAP only if the page doesn't already have it, then init every embed once ---- *\/\r\n(function(){\r\n  var GSAP='https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/gsap\/3.12.5\/gsap.min.js';\r\n  var MP  ='https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/gsap\/3.12.5\/MotionPathPlugin.min.js';\r\n  function load(src, have, cb){\r\n    if (have()) return cb();\r\n    var s=document.createElement('script'); s.src=src; s.async=true; s.onload=cb; s.onerror=cb;\r\n    document.head.appendChild(s);\r\n  }\r\n  function hasGsap(){ return !!(window.gsap && window.gsap.version && parseInt(window.gsap.version,10)>=3); }\r\n  function hasMP(){ return !!window.MotionPathPlugin; }\r\n  function run(){\r\n    document.querySelectorAll('.neura-pla').forEach(function(root){\r\n      if (root.dataset.plaInit) return;\r\n      root.dataset.plaInit='1';\r\n      try { initPLA(root); } catch(e){ console.warn('NEURA PLA diagram:', e); }\r\n    });\r\n  }\r\n  function start(){ load(GSAP, hasGsap, function(){ load(MP, hasMP, run); }); }\r\n  if (document.readyState==='loading') document.addEventListener('DOMContentLoaded', start); else start();\r\n})();\r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-21b5ab8 nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"21b5ab8\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e94e65a e-con-full e-flex e-con e-child\" data-id=\"e94e65a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-612717a elementor-widget elementor-widget-heading\" data-id=\"612717a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Wo die Kamera an ihre Grenzen st\u00f6\u00dft, \u00fcbernehmen die anderen Sinne<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61cc272 elementor-widget elementor-widget-text-editor\" data-id=\"61cc272\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Manche Aufgaben lassen sich mit Kameras allein nicht l\u00f6sen. Und auch dort, wo das Sehen bereits gut funktioniert, machen zus\u00e4tzliche Sinne den Roboter noch zuverl\u00e4ssiger.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-2f1fbcc e-con-full usecase-list e-flex e-con e-child\" data-id=\"2f1fbcc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-40e6a85 e-con-full e-flex e-con e-child\" data-id=\"40e6a85\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2614815 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"2614815\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Sp\u00fcren, wann sich ein Schloss \u00f6ffnet<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4825c96 elementor-widget elementor-widget-text-editor\" data-id=\"4825c96\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Ob sich ein Schloss tats\u00e4chlich ge\u00f6ffnet hat, verr\u00e4t ein Kamerabild nicht \u2013 Klang und Tastsinn dagegen schon.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-91fd945 e-con-full e-flex e-con e-child\" data-id=\"91fd945\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3beaa53 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"3beaa53\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Greifen, was man nicht sieht<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9524d20 elementor-widget elementor-widget-text-editor\" data-id=\"9524d20\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Wenn ein Objekt verdeckt ist, \u00fcbernimmt der Tastsinn und f\u00fchrt den Griff sicher ans Ziel.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-5165127 e-con-full e-flex e-con e-child\" data-id=\"5165127\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-32d4481 elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"32d4481\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Die Qualit\u00e4t einer Naht h\u00f6ren<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9f4cbd3 elementor-widget elementor-widget-text-editor\" data-id=\"9f4cbd3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Beim Schwei\u00dfen l\u00e4sst sich schon am Klang des Prozesses erkennen, wie gut die Naht wird.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-21530d8 nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"21530d8\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-4d97a0d e-con-full e-flex e-con e-child\" data-id=\"4d97a0d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-89572bd elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"89572bd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Intelligenz, die direkt auf dem Roboter l\u00e4uft<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0e5d64 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"b0e5d64\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Neuron AI l\u00e4uft lokal, also direkt auf dem Roboter. So fallen Entscheidungen in Echtzeit, ohne dass der Roboter auf eine Cloud-Verbindung angewiesen ist.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-68453b7 e-con-full edge-rows e-flex e-con e-child\" data-id=\"68453b7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-fdac5f3 e-con-full e-flex e-con e-child\" data-id=\"fdac5f3\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-81bb4d7 elementor-widget__width-initial elementor-widget-tablet__width-inherit elementor-widget elementor-widget-heading\" data-id=\"81bb4d7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Geringe Latenz<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd7c3c1 elementor-widget elementor-widget-text-editor\" data-id=\"dd7c3c1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Entscheidungen entstehen direkt auf dem Roboter, ohne den Umweg \u00fcber einen Server.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e46fbaf e-con-full e-flex e-con e-child\" data-id=\"e46fbaf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e8cf2ce elementor-widget elementor-widget-heading\" data-id=\"e8cf2ce\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Echtzeit<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d80d0ff elementor-widget elementor-widget-text-editor\" data-id=\"d80d0ff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>DIREKT AUF DEM ROBOTER<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-4e1d2c8 e-con-full e-flex e-con e-child\" data-id=\"4e1d2c8\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c2a67ba elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"c2a67ba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Ausfallsicherheit<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2524c4 elementor-widget elementor-widget-text-editor\" data-id=\"b2524c4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Neuron AI arbeitet auch dann zuverl\u00e4ssig weiter, wenn keine Cloud-Verbindung besteht.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-1f4c873 e-con-full e-flex e-con e-child\" data-id=\"1f4c873\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0e5fff7 elementor-widget elementor-widget-heading\" data-id=\"0e5fff7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Keine Cloud<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-675ca28 elementor-widget elementor-widget-text-editor\" data-id=\"675ca28\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>ERFORDERLICH<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-b61844e e-con-full e-flex e-con e-child\" data-id=\"b61844e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8fd5393 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"8fd5393\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Datenhoheit<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-88130d2 elementor-widget elementor-widget-text-editor\" data-id=\"88130d2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Ihre Produktionsdaten bleiben unter Ihrer Kontrolle \u2013 gerade f\u00fcr Hersteller in Europa ein entscheidender Punkt.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-5efe53f e-con-full e-flex e-con e-child\" data-id=\"5efe53f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6995586 elementor-widget elementor-widget-heading\" data-id=\"6995586\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Ihre Daten<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1214ed9 elementor-widget elementor-widget-text-editor\" data-id=\"1214ed9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>BLEIBEN BEI IHNEN<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-ef3d3c1 e-con-full nai-section e-flex e-con e-parent\" data-id=\"ef3d3c1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-b7e8af9 e-flex e-con-boxed e-con e-child\" data-id=\"b7e8af9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e4a6997 e-con-full e-flex e-con e-child\" data-id=\"e4a6997\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-87c4b3a elementor-widget elementor-widget-heading\" data-id=\"87c4b3a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Ein Modell f\u00fcr jeden Roboter von NEURA<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b95c2b4 elementor-widget elementor-widget-heading\" data-id=\"b95c2b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Neuron AI wird auf der gesamten NEURA-Roboterfamilie mit ihren unterschiedlichen H\u00e4nden und Greifern trainiert. So entsteht ein einziges Modell, das auf jedem Embodiment eingesetzt werden kann.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-0d37113 e-con-full offset-slider-wrapper e-flex e-con e-child\" data-id=\"0d37113\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a0dd8fa elementor-widget__width-inherit elementor-arrows-position-outside offset-carousle-c elementor-widget elementor-widget-n-carousel\" data-id=\"a0dd8fa\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;carousel_items&quot;:[{&quot;slide_title&quot;:&quot;4NE1&quot;,&quot;_id&quot;:&quot;fd06952&quot;},{&quot;slide_title&quot;:&quot;MAiRA&quot;,&quot;_id&quot;:&quot;ca0a253&quot;},{&quot;slide_title&quot;:&quot;MiPA&quot;,&quot;_id&quot;:&quot;d0dffec&quot;},{&quot;slide_title&quot;:&quot;MAV+&quot;,&quot;_id&quot;:&quot;be54f0b&quot;}],&quot;slides_to_show&quot;:&quot;2&quot;,&quot;offset_sides&quot;:&quot;right&quot;,&quot;offset_width&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:200,&quot;sizes&quot;:[]},&quot;slides_to_show_tablet&quot;:&quot;1&quot;,&quot;offset_width_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:7,&quot;sizes&quot;:[]},&quot;slides_to_show_mobile&quot;:&quot;1&quot;,&quot;infinite&quot;:&quot;yes&quot;,&quot;speed&quot;:500,&quot;offset_width_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;arrows&quot;:&quot;yes&quot;,&quot;image_spacing_custom&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;image_spacing_custom_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;image_spacing_custom_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-carousel.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-carousel swiper\" role=\"region\" aria-roledescription=\"carousel\" aria-label=\"Carousel\" dir=\"ltr\">\n\t\t\t<div class=\"swiper-wrapper\" aria-live=\"polite\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" data-slide=\"1\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"1 of 4\">\n\t\t\t\t\t\t\t<a data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-f40280b e-flex e-con-boxed e-con e-child\" data-id=\"f40280b\" data-element_type=\"container\" data-e-type=\"container\" href=\"https:\/\/neura-robotics.com\/de\/produkte\/4ne1\/\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-c13f4b2 e-con-full e-flex e-con e-child\" data-id=\"c13f4b2\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-8549136 e-con-full e-flex e-con e-child\" data-id=\"8549136\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-6c59205 e-con-full e-flex e-con e-child\" data-id=\"6c59205\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6622d31 elementor-widget elementor-widget-text-editor\" data-id=\"6622d31\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>4NE1<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" data-slide=\"2\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"2 of 4\">\n\t\t\t\t\t\t\t<a data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-83da27c e-flex e-con-boxed e-con e-child\" data-id=\"83da27c\" data-element_type=\"container\" data-e-type=\"container\" href=\"https:\/\/neura-robotics.com\/de\/produkte\/maira\/\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-54df975 e-con-full e-flex e-con e-child\" data-id=\"54df975\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-be3d48d e-con-full e-flex e-con e-child\" data-id=\"be3d48d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-195a63e e-con-full e-flex e-con e-child\" data-id=\"195a63e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b2c04e2 elementor-widget elementor-widget-text-editor\" data-id=\"b2c04e2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>MAiRA<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" data-slide=\"3\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"3 of 4\">\n\t\t\t\t\t\t\t<a data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-9c3dd5d e-flex e-con-boxed e-con e-child\" data-id=\"9c3dd5d\" data-element_type=\"container\" data-e-type=\"container\" href=\"https:\/\/neura-robotics.com\/de\/produkte\/mipa\/\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-2570bbd e-con-full e-flex e-con e-child\" data-id=\"2570bbd\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-ce42d5d e-con-full e-flex e-con e-child\" data-id=\"ce42d5d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-274f637 e-con-full e-flex e-con e-child\" data-id=\"274f637\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-74f8893 elementor-widget elementor-widget-text-editor\" data-id=\"74f8893\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>MiPA<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" data-slide=\"4\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"4 of 4\">\n\t\t\t\t\t\t\t<a data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-367b591 e-flex e-con-boxed e-con e-child\" data-id=\"367b591\" data-element_type=\"container\" data-e-type=\"container\" href=\"https:\/\/neura-robotics.com\/de\/produkte\/mav\/\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-bb59225 e-con-full e-flex e-con e-child\" data-id=\"bb59225\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-6e028cc e-con-full e-flex e-con e-child\" data-id=\"6e028cc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e647baa e-con-full e-flex e-con e-child\" data-id=\"e647baa\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fdb0fc4 elementor-widget elementor-widget-text-editor\" data-id=\"fdb0fc4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>MAV+<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-prev\" role=\"button\" tabindex=\"0\" aria-label=\"Previous\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-eicon-chevron-left\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M646 125C629 125 613 133 604 142L308 442C296 454 292 471 292 487 292 504 296 521 308 533L604 854C617 867 629 875 646 875 663 875 679 871 692 858 704 846 713 829 713 812 713 796 708 779 692 767L438 487 692 225C700 217 708 204 708 187 708 171 704 154 692 142 675 129 663 125 646 125Z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-next\" role=\"button\" tabindex=\"0\" aria-label=\"Next\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-eicon-chevron-right\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M696 533C708 521 713 504 713 487 713 471 708 454 696 446L400 146C388 133 375 125 354 125 338 125 325 129 313 142 300 154 292 171 292 187 292 204 296 221 308 233L563 492 304 771C292 783 288 800 288 817 288 833 296 850 308 863 321 871 338 875 354 875 371 875 388 867 400 854L696 533Z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-90d2cb5 nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"90d2cb5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-fc01cf3 e-con-full e-grid e-con e-child\" data-id=\"fc01cf3\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-064af25 e-con-full e-flex e-con e-child\" data-id=\"064af25\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3807ad2 elementor-widget elementor-widget-heading\" data-id=\"3807ad2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Wie Neuron AI trainiert wird<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bbe5cb9 elementor-widget elementor-widget-text-editor\" data-id=\"bbe5cb9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Neuron AI lernt aus drei Quellen physischer Erfahrung, die sich gegenseitig erg\u00e4nzen: echten Interaktionen in der physischen Welt, simulierten Variationen und menschlichem Know-how. Erg\u00e4nzt wird das Training in den NEURA Gyms durch Datenpartnerschaften mit Industrieunternehmen wie Schaeffler und Bosch.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-d7eb455 e-con-full e-flex e-con e-child\" data-id=\"d7eb455\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-54872fd e-con-full e-flex e-con e-child\" data-id=\"54872fd\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e31aeb1 elementor-widget elementor-widget-heading\" data-id=\"e31aeb1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Reale Roboterdaten<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7869937 elementor-widget elementor-widget-text-editor\" data-id=\"7869937\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In den NEURA Gyms und in realen Einsatzumgebungen f\u00fchren Roboter mit unterschiedlichen Embodiments Aufgaben aus. Dabei entstehen synchronisierte Daten aus Sehen, Tastsinn, Kraft, Audio und Bewegung.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-f1b0445 e-con-full e-flex e-con e-child\" data-id=\"f1b0445\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-1e6531f e-con-full e-flex e-con e-child\" data-id=\"1e6531f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4706d87 elementor-widget elementor-widget-heading\" data-id=\"4706d87\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Durch Simulation erweiterte Daten<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b9f7dd elementor-widget elementor-widget-text-editor\" data-id=\"2b9f7dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Mit dem Data Amplifier und dem Simulations-Stack von NEURA werden die Trainingsdaten um simulierte Varianten von Aufgaben und Umgebungen erweitert.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-cb193e8 e-con-full e-flex e-con e-child\" data-id=\"cb193e8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-925c694 e-con-full e-flex e-con e-child\" data-id=\"925c694\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8adbd37 elementor-widget elementor-widget-heading\" data-id=\"8adbd37\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Daten aus menschlichen Demonstrationen<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-97cd09f elementor-widget elementor-widget-text-editor\" data-id=\"97cd09f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Menschen in sensorbest\u00fcckten Data Suits zeichnen Bewegungen und Aufgabenabl\u00e4ufe auf und bringen so ihr praktisches Fachwissen direkt ins Training ein.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<a data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-966d582 e-con-full e-flex e-con e-child\" data-id=\"966d582\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\" href=\"https:\/\/neura-robotics.com\/de\/neuragym\/\">\n\t\t<a data-premium-element-link=\"{&quot;type&quot;:&quot;url&quot;,&quot;link&quot;:{&quot;url&quot;:&quot;#&quot;,&quot;is_external&quot;:&quot;&quot;,&quot;nofollow&quot;:&quot;&quot;,&quot;custom_attributes&quot;:&quot;&quot;},&quot;href&quot;:&quot;#&quot;}\" style=\"cursor: pointer\" data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-ef8a6dd e-con-full blurry-button premium-wrapper-link-yes e-flex e-con e-child\" data-id=\"ef8a6dd\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\" href=\"https:\/\/neura-robotics.com\/de\/neuragym\/\">\n\t\t\t\t<div class=\"elementor-element elementor-element-404d285 elementor-widget elementor-widget-text-editor\" data-id=\"404d285\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>NEURA Gyms entdecken<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e303816 e-con-full e-flex e-con e-child\" data-id=\"e303816\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-af2b051 elementor-widget elementor-widget-image\" data-id=\"af2b051\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" loading=\"lazy\" width=\"49\" height=\"49\" src=\"https:\/\/neura-robotics.com\/wp-content\/uploads\/2025\/05\/black-box-arrow-btn.svg\" class=\"attachment-full size-full wp-image-150\" alt=\"NEURA Robotics Black Box Arrow\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/a>\n\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-65d42f1 e-con-full e-flex e-con e-child\" data-id=\"65d42f1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-edee86b elementor-hidden-mobile elementor-widget elementor-widget-image\" data-id=\"edee86b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/neura-robotics.com\/wp-content\/uploads\/2026\/10\/VIS-08-\u00b7-Three-data-pillars-PLA-animation-style-export-as-one-SVG.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"Three data pillars diagram for training PLA\" data-elementor-lightbox-description=\"Three data pillars diagram for training PLA\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NDE4NDksInVybCI6Imh0dHBzOlwvXC9uZXVyYS1yb2JvdGljcy5jb21cL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMjZcLzEwXC9WSVMtMDgtXHUwMGI3LVRocmVlLWRhdGEtcGlsbGFycy1QTEEtYW5pbWF0aW9uLXN0eWxlLWV4cG9ydC1hcy1vbmUtU1ZHLnBuZyJ9\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" loading=\"lazy\" width=\"625\" height=\"570\" src=\"https:\/\/neura-robotics.com\/wp-content\/uploads\/2026\/10\/VIS-08-\u00b7-Three-data-pillars-PLA-animation-style-export-as-one-SVG.png\" class=\"attachment-full size-full wp-image-41849\" alt=\"Three data pillars diagram for training PLA\" srcset=\"https:\/\/neura-robotics.com\/wp-content\/uploads\/2026\/10\/VIS-08-\u00b7-Three-data-pillars-PLA-animation-style-export-as-one-SVG.png 625w, https:\/\/neura-robotics.com\/wp-content\/uploads\/2026\/10\/VIS-08-\u00b7-Three-data-pillars-PLA-animation-style-export-as-one-SVG-300x274.png 300w, https:\/\/neura-robotics.com\/wp-content\/uploads\/2026\/10\/VIS-08-\u00b7-Three-data-pillars-PLA-animation-style-export-as-one-SVG-600x547.png 600w\" sizes=\"auto, (max-width: 625px) 100vw, 625px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bb90421 elementor-hidden-desktop elementor-hidden-tablet elementor-widget elementor-widget-image\" data-id=\"bb90421\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/neura-robotics.com\/wp-content\/uploads\/2026\/10\/VIS-08-M-\u00b7-Three-data-pillars-\u00b7-MOBILE-export-as-one-SVG-show-_768px.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"Three data pillars \u00b7 MOBILE\" data-elementor-lightbox-description=\"Three data pillars \u00b7 MOBILE \" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NDE5MTUsInVybCI6Imh0dHBzOlwvXC9uZXVyYS1yb2JvdGljcy5jb21cL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMjZcLzEwXC9WSVMtMDgtTS1cdTAwYjctVGhyZWUtZGF0YS1waWxsYXJzLVx1MDBiNy1NT0JJTEUtZXhwb3J0LWFzLW9uZS1TVkctc2hvdy1fNzY4cHgucG5nIn0%3D\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" loading=\"lazy\" width=\"390\" height=\"764\" src=\"https:\/\/neura-robotics.com\/wp-content\/uploads\/2026\/10\/VIS-08-M-\u00b7-Three-data-pillars-\u00b7-MOBILE-export-as-one-SVG-show-_768px.png\" class=\"attachment-full size-full wp-image-41915\" alt=\"Three data pillars \u00b7 MOBILE\" srcset=\"https:\/\/neura-robotics.com\/wp-content\/uploads\/2026\/10\/VIS-08-M-\u00b7-Three-data-pillars-\u00b7-MOBILE-export-as-one-SVG-show-_768px.png 390w, https:\/\/neura-robotics.com\/wp-content\/uploads\/2026\/10\/VIS-08-M-\u00b7-Three-data-pillars-\u00b7-MOBILE-export-as-one-SVG-show-_768px-153x300.png 153w\" sizes=\"auto, (max-width: 390px) 100vw, 390px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-ae270f4 nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"ae270f4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-ceb95b3 e-con-full e-flex e-con e-child\" data-id=\"ceb95b3\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-59a2286 e-con-full e-flex e-con e-child\" data-id=\"59a2286\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a8519d8 elementor-widget elementor-widget-heading\" data-id=\"a8519d8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Fragen zu Neuron AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-5d493de e-con-full e-flex e-con e-child\" data-id=\"5d493de\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-f3d154a e-con-full e-flex e-con e-child\" data-id=\"f3d154a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ad6e583 elementor-widget__width-initial elementor-widget-tablet__width-inherit elementor-widget elementor-widget-toggle\" data-id=\"ad6e583\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<h4 id=\"elementor-tab-title-1811\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1811\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"15\" viewBox=\"0 0 16 15\" fill=\"none\"><g id=\"Expand Icon\"><path id=\"Line 47\" d=\"M8.11523 14.1836L8.11523 1.43498\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M1.74023 7.80859L14.4888 7.80859\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"19\" height=\"19\" viewBox=\"0 0 19 19\" fill=\"none\"><g id=\"Close Icon\"><path id=\"Line 47\" d=\"M4.98242 14.2188L14.1829 5.39391\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M5.17188 5.20703L13.9967 14.4075\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Was ist ein Perception-Language-Action-Modell (PLA)?<\/a>\n\t\t\t\t\t<\/h4>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1811\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1811\"><p>Ein PLA-Modell verkn\u00fcpft das, was ein Roboter sieht, h\u00f6rt und f\u00fchlt, mit dem, was er bereits getan hat. Neuron AI bildet 3D-Sehen, Tastsinn und Kraft, H\u00f6ren, den Eigenzustand des Roboters und Sprache \u00fcber die Zeit in einem gemeinsamen Raum ab und setzt all das in einen durchg\u00e4ngigen Handlungsstrom um.<\/p>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<h4 id=\"elementor-tab-title-1812\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-1812\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"15\" viewBox=\"0 0 16 15\" fill=\"none\"><g id=\"Expand Icon\"><path id=\"Line 47\" d=\"M8.11523 14.1836L8.11523 1.43498\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M1.74023 7.80859L14.4888 7.80859\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"19\" height=\"19\" viewBox=\"0 0 19 19\" fill=\"none\"><g id=\"Close Icon\"><path id=\"Line 47\" d=\"M4.98242 14.2188L14.1829 5.39391\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M5.17188 5.20703L13.9967 14.4075\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Worin unterscheidet sich Neuron AI von einem VLA-Modell?<\/a>\n\t\t\t\t\t<\/h4>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1812\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-1812\"><p>Vision-Language-Action-Modelle (VLA) nehmen die Welt \u00fcber Kameras wahr. Neuron AI erg\u00e4nzt das um Tastsinn, H\u00f6ren und Ged\u00e4chtnis, sodass Roboter auch auf das reagieren k\u00f6nnen, was sie nicht sehen.<\/p>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<h4 id=\"elementor-tab-title-1813\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-1813\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"15\" viewBox=\"0 0 16 15\" fill=\"none\"><g id=\"Expand Icon\"><path id=\"Line 47\" d=\"M8.11523 14.1836L8.11523 1.43498\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M1.74023 7.80859L14.4888 7.80859\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"19\" height=\"19\" viewBox=\"0 0 19 19\" fill=\"none\"><g id=\"Close Icon\"><path id=\"Line 47\" d=\"M4.98242 14.2188L14.1829 5.39391\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M5.17188 5.20703L13.9967 14.4075\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Warum braucht ein Roboter ein Ged\u00e4chtnis?<\/a>\n\t\t\t\t\t<\/h4>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1813\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-1813\"><p>Ein Roboter bewegt sich in einer physischen Welt, die nie stillsteht. Er muss Objekte und die Folgen seines eigenen Handelns im Blick behalten, oft ohne sie zu sehen. Neuron AI erinnert sich deshalb an Objekte, auch wenn sie gerade au\u00dfer Sicht sind.<\/p>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Was ist ein Perception-Language-Action-Modell (PLA)?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Ein PLA-Modell verkn\\u00fcpft das, was ein Roboter sieht, h\\u00f6rt und f\\u00fchlt, mit dem, was er bereits getan hat. Neuron AI bildet 3D-Sehen, Tastsinn und Kraft, H\\u00f6ren, den Eigenzustand des Roboters und Sprache \\u00fcber die Zeit in einem gemeinsamen Raum ab und setzt all das in einen durchg\\u00e4ngigen Handlungsstrom um.<\\\/p>\\n\"}},{\"@type\":\"Question\",\"name\":\"Worin unterscheidet sich Neuron AI von einem VLA-Modell?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Vision-Language-Action-Modelle (VLA) nehmen die Welt \\u00fcber Kameras wahr. Neuron AI erg\\u00e4nzt das um Tastsinn, H\\u00f6ren und Ged\\u00e4chtnis, sodass Roboter auch auf das reagieren k\\u00f6nnen, was sie nicht sehen.<\\\/p>\\n\"}},{\"@type\":\"Question\",\"name\":\"Warum braucht ein Roboter ein Ged\\u00e4chtnis?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Ein Roboter bewegt sich in einer physischen Welt, die nie stillsteht. Er muss Objekte und die Folgen seines eigenen Handelns im Blick behalten, oft ohne sie zu sehen. Neuron AI erinnert sich deshalb an Objekte, auch wenn sie gerade au\\u00dfer Sicht sind.<\\\/p>\\n\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-fe4cd8e e-con-full e-flex e-con e-child\" data-id=\"fe4cd8e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-38ffc6a elementor-widget__width-initial elementor-widget-tablet__width-inherit elementor-widget elementor-widget-toggle\" data-id=\"38ffc6a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<h4 id=\"elementor-tab-title-5971\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-5971\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"15\" viewBox=\"0 0 16 15\" fill=\"none\"><g id=\"Expand Icon\"><path id=\"Line 47\" d=\"M8.11523 14.1836L8.11523 1.43498\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M1.74023 7.80859L14.4888 7.80859\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"19\" height=\"19\" viewBox=\"0 0 19 19\" fill=\"none\"><g id=\"Close Icon\"><path id=\"Line 47\" d=\"M4.98242 14.2188L14.1829 5.39391\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M5.17188 5.20703L13.9967 14.4075\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Braucht Neuron AI die Cloud?<\/a>\n\t\t\t\t\t<\/h4>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-5971\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-5971\"><p>Nein. Neuron AI wird lokal eingesetzt und rechnet in Echtzeit direkt auf dem Roboter, sodass Ihre Daten jederzeit unter Ihrer Kontrolle bleiben.<\/p>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<h4 id=\"elementor-tab-title-5972\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-5972\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"15\" viewBox=\"0 0 16 15\" fill=\"none\"><g id=\"Expand Icon\"><path id=\"Line 47\" d=\"M8.11523 14.1836L8.11523 1.43498\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M1.74023 7.80859L14.4888 7.80859\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"19\" height=\"19\" viewBox=\"0 0 19 19\" fill=\"none\"><g id=\"Close Icon\"><path id=\"Line 47\" d=\"M4.98242 14.2188L14.1829 5.39391\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M5.17188 5.20703L13.9967 14.4075\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Auf welchen Robotern l\u00e4uft Neuron AI?<\/a>\n\t\t\t\t\t<\/h4>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-5972\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-5972\"><p>Neuron AI l\u00e4uft auf f\u00fcnf Formfaktoren von NEURA \u2013 dem 4NE-1 Gen 3, dem 4NE-1 Gen 4, einem 4NE-1 auf R\u00e4dern sowie zwei weiteren bimanuellen Plattformen \u2013 jeweils mit unterschiedlichen Greifern und H\u00e4nden.<\/p>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<h4 id=\"elementor-tab-title-5973\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-5973\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"15\" viewBox=\"0 0 16 15\" fill=\"none\"><g id=\"Expand Icon\"><path id=\"Line 47\" d=\"M8.11523 14.1836L8.11523 1.43498\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M1.74023 7.80859L14.4888 7.80859\" stroke=\"#404040\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"19\" height=\"19\" viewBox=\"0 0 19 19\" fill=\"none\"><g id=\"Close Icon\"><path id=\"Line 47\" d=\"M4.98242 14.2188L14.1829 5.39391\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><path id=\"Line 48\" d=\"M5.17188 5.20703L13.9967 14.4075\" stroke=\"#F2F2F2\" stroke-width=\"1.59358\" stroke-linecap=\"round\"><\/path><\/g><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Wo wird Neuron AI entwickelt und trainiert?<\/a>\n\t\t\t\t\t<\/h4>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-5973\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-5973\"><p>Neuron AI wurde vollst\u00e4ndig inhouse in Metzingen entwickelt und trainiert. Es lernt aus drei Datenquellen: realen Roboterdaten, durch Simulation erweiterten Daten und Daten aus menschlichen Demonstrationen.<\/p>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Braucht Neuron AI die Cloud?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Nein. Neuron AI wird lokal eingesetzt und rechnet in Echtzeit direkt auf dem Roboter, sodass Ihre Daten jederzeit unter Ihrer Kontrolle bleiben.<\\\/p>\\n\"}},{\"@type\":\"Question\",\"name\":\"Auf welchen Robotern l\\u00e4uft Neuron AI?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Neuron AI l\\u00e4uft auf f\\u00fcnf Formfaktoren von NEURA \\u2013 dem 4NE-1 Gen 3, dem 4NE-1 Gen 4, einem 4NE-1 auf R\\u00e4dern sowie zwei weiteren bimanuellen Plattformen \\u2013 jeweils mit unterschiedlichen Greifern und H\\u00e4nden.<\\\/p>\\n\"}},{\"@type\":\"Question\",\"name\":\"Wo wird Neuron AI entwickelt und trainiert?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Neuron AI wurde vollst\\u00e4ndig inhouse in Metzingen entwickelt und trainiert. Es lernt aus drei Datenquellen: realen Roboterdaten, durch Simulation erweiterten Daten und Daten aus menschlichen Demonstrationen.<\\\/p>\\n\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-0d96cbd nai-section e-flex e-con-boxed e-con e-parent\" data-id=\"0d96cbd\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-681cbba e-con-full e-flex e-con e-child\" data-id=\"681cbba\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-ff78145 e-con-full e-flex e-con e-child\" data-id=\"ff78145\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-c5e5bb6 e-con-full e-flex e-con e-child\" data-id=\"c5e5bb6\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-b296bf2 e-con-full e-flex e-con e-child\" data-id=\"b296bf2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-97db135 elementor-widget elementor-widget-heading\" data-id=\"97db135\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Sind Sie bereit, Ihren Robotern alle Sinne zu geben?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-3fca9b8 e-con-full e-flex e-con e-child\" data-id=\"3fca9b8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7a14ff8 elementor-widget elementor-widget-text-editor\" data-id=\"7a14ff8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Sprechen Sie mit unserem Team dar\u00fcber, wie Neuron AI auf Ihren Robotern, in Ihrem Anwendungsfall und mit Ihren Daten zum Einsatz kommen kann.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<a data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-72bb7a0 e-con-full 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[&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":42216,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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