{"product_id":"dobot-pocket-go-data-collection-platform","title":"DOBOT Pocket Go Daten Erfassungsplattform","description":"\u003cdiv class=\"product-block-list__item product-block-list__item--description details_product\"\u003e\u003cdiv class=\"card\"\u003e\u003cdiv class=\"card__header\"\u003e\r\n\u003ch2 class=\"card__title heading h3\"\u003eBeschreibung\u003c\/h2\u003e\r\n\u003c\/div\u003e\u003cdiv class=\"card__section expandable-content desc-view-more\" id=\"main-description\"\u003e\u003cdiv class=\"rte text--pull\"\u003e\u003cul\u003e\n\t\u003cli\u003eDOBOT Pocket Go Daten Erfassungsplattform\u003c\/li\u003e\n\t\u003cli\u003eTragbares Einarm-Datenerfassungskit für die Aufzeichnung von Demonstrationen zur Roboterhandhabung mit hohem Durchsatz\u003c\/li\u003e\n\t\u003cli\u003eGoPro Hero 12 Kamera: 5,3K, 155-Grad FOV, HyperSmooth 6.0 Stabilisierung, integrierte IMU\u003c\/li\u003e\n\t\u003cli\u003eVisuell-inertiales SLAM (ORB-SLAM3) für präzises 6D-Posen-Tracking während der Demonstrationen\u003c\/li\u003e\n\t\u003cli\u003eHandheld-Greifer-Kit und arm-montiertes Endeffektor-Greifer-Kit sind beide enthalten; bis zu 2 kg Nutzlast\u003c\/li\u003e\n\t\u003cli\u003eKompatibel mit vollständigen DOBOT Nova und CR Serien Roboterarmen (separat erhältlich)\u003c\/li\u003e\n\t\u003cli\u003eKompletter Software-Stack: Datenerfassung, SLAM-Trajektorienverarbeitung, Modelltraining und Bereitstellung\u003c\/li\u003e\n\t\u003cli\u003eBis zu 4.000 Demonstrationsdatensätze pro Tag; optionaler Mini-AI-Computer für Edge-Training und Inferenz\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eDie \u003cstrong\u003eDOBOT Pocket Go Daten Erfassungsplattform\u003c\/strong\u003e ist ein kompaktes, tragbares Kit, das von DOBOT für Teams entwickelt wurde, die große Mengen an hochwertigen Demonstrationen zur Roboterhandhabung effizient aufzeichnen müssen. Entwickelt, um Imitationslern-Workflows für die Forschung an verkörperter KI zu beschleunigen, kombiniert es eine GoPro Hero 12 Action-Kamera mit einem visuell-inertialen SLAM-System, um die Bewegungen des Bedieners mit der räumlichen Präzision zu erfassen, die erforderlich ist, um Trainingsdatensätze zur Handhabung zu erstellen. Das Kit enthält sowohl einen Handheld-Greifer für menschliche Demonstrationen als auch einen Roboterarm-Endeffektor-Greifer für die Bereitstellung, sodass dieselben aufgezeichneten Daten direkt auf einen kompatiblen Roboterarm für autonome Inferenz übertragen werden können. Ein kompatibler Roboterarm aus der DOBOT Nova oder CR Serie ist für die Inferenz erforderlich und muss separat bestellt werden.\u003c\/p\u003e\n\n\u003cp\u003eDas System unterstützt bis zu 4.000 Demonstrationsdatensätze pro Betriebstag und deckt kommerzielle, Haushalts- und industrielle Anwendungsszenarien ab, von der Tischreinigung bis zur Präzisionsmontage. Die GoPro Hero 12 bietet hochauflösendes Video mit fortschrittlicher optischer Stabilisierung, die für schnelle Handhabungsaufgaben geeignet ist, und das ORB-SLAM3 6D-Posen-Tracking-System generiert automatisch räumliche Anmerkungen aus aufgezeichneten Sitzungen. Der enthaltene mobile vertikale Ständer bietet Platz für Nova 2, Nova 5, CR3, CR5 und CR7 Arme. Ein optionaler Mini-AI-Computer mit einer dedizierten GPU ermöglicht es, Edge-Training und Inferenz lokal durchzuführen, wodurch die Rundlaufzeit zwischen Datenerfassung und Modellvalidierung verkürzt wird.\u003c\/p\u003e\n\u003c!-- ### ai-food-robotshop ### --\u003e\n\n\u003cdiv style=\"height:18px; line-height:0; font-size:0; clear:both;\"\u003e \u003c\/div\u003e\n\u003cstyle type=\"text\/css\"\u003e.rs-section.ai-food-robotshop{\n  background:var(--rsaf-bg,#fff);\n  border-radius:var(--rsaf-radius,12px);\n  padding:var(--rsaf-pad,18px);\n  color:var(--rsaf-tc,#222);\n  --rsaf-gap:2px;\n}\n.rs-section.ai-food-robotshop .cc-heading{margin:0 0 10px;text-align:center;font-weight:700;font-size:clamp(16px, 1.6vw, 20px);letter-spacing:.15px;}\n.rs-section.ai-food-robotshop .cc-grid{display:grid;grid-template-columns:repeat(4, minmax(0, 1fr));gap:0;align-items:stretch;}\n.rs-section.ai-food-robotshop .cc-col{min-width:0;padding:var(--rsaf-col-pad, 12px 16px);text-align:left;display:flex;flex-direction:column;justify-content:flex-start;gap:var(--rsaf-gap,2px) !important;}\n.rs-section.ai-food-robotshop .cc-col + .cc-col{border-left:1px solid var(--rsaf-sep,#e6e8ee);}\n.rs-section.ai-food-robotshop .cc-row{display:flex;align-items:center;justify-content:flex-start;gap:10px;line-height:1 !important;padding:0 !important;margin:0 !important;min-height:0 !important;}\n.rs-section.ai-food-robotshop .cc-row img.cc-icon{width:var(--rsaf-icon,28px);height:var(--rsaf-icon,28px);display:block !important;line-height:0 !important;vertical-align:middle !important;margin:0 !important;}\n.rs-section.ai-food-robotshop .cc-title{margin:0 !important;padding:0 !important;font-weight:700;font-size:clamp(13px, 1.05vw, 15px);line-height:1.05 !important;}\n.rs-section.ai-food-robotshop p.cc-desc{margin:0 !important;padding:0 !important;margin-top:var(--rsaf-gap,2px) !important;font-size:clamp(11.5px, .95vw, 12.5px);line-height:1.3 !important;color:var(--rsaf-muted,#6f7888);max-width:36ch;}\n@media (max-width:900px){\n  .rs-section.ai-food-robotshop .cc-grid{grid-template-columns:repeat(2, minmax(0, 1fr));}\n  .rs-section.ai-food-robotshop .cc-col + .cc-col{border-left:0;}\n  .rs-section.ai-food-robotshop .cc-col{border-top:1px solid var(--rsaf-sep,#e6e8ee);}\n  .rs-section.ai-food-robotshop .cc-col:nth-child(1),\n  .rs-section.ai-food-robotshop .cc-col:nth-child(2){border-top:0;}\n  .rs-section.ai-food-robotshop .cc-col:nth-child(2),\n  .rs-section.ai-food-robotshop .cc-col:nth-child(4){border-left:1px solid var(--rsaf-sep,#e6e8ee);}\n  .rs-section.ai-food-robotshop p.cc-desc{max-width:60ch;}\n}\n@media (max-width:650px){\n  .rs-section.ai-food-robotshop .cc-grid{grid-template-columns:1fr;}\n  .rs-section.ai-food-robotshop .cc-col{padding:12px 12px;border-left:0 !important;border-top:1px solid var(--rsaf-sep,#e6e8ee);}\n  .rs-section.ai-food-robotshop .cc-col:first-child{border-top:0;}\n}\n\u003c\/style\u003e\n\u003csection class=\"rs-section ai-food-robotshop\" style=\"\n  --rsaf-pad:18px;\n  --rsaf-radius:12px;\n  --rsaf-bg:#ffffff;\n  --rsaf-tc:#222222;\n  --rsaf-sep:#e6e8ee;\n  --rsaf-muted:#6f7888;\n  --rsaf-icon:28px;\n  --rsaf-col-pad:12px 16px;\n  --rsaf-gap:2px;\n  margin:0 auto;\n\"\u003e\n\u003cdiv class=\"cc-heading\"\u003eWarum bei RobotShop kaufen\u003c\/div\u003e\n\n\u003cdiv class=\"cc-grid\"\u003e\n\u003cdiv class=\"cc-col\"\u003e\n\u003cdiv class=\"cc-row\"\u003e\u003cimg class=\"cc-icon\"  alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/ai-food-robotshop-authorized.webp\" alt=\"DOBOT Pocket Go Daten Erfassungsplattform\"\u003e\n\u003cdiv class=\"cc-title\"\u003eOffizieller autorisierter Distributor\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"cc-desc\"\u003eEchte Produkte mit herstellergeprüfter Garantieabdeckung.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"cc-col\"\u003e\n\u003cdiv class=\"cc-row\"\u003e\u003cimg class=\"cc-icon\"  alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/ai-food-robotshop-logistics.webp\" alt=\"DOBOT Pocket Go Daten Erfassungsplattform\"\u003e\n\u003cdiv class=\"cc-title\"\u003eLokal verwaltete Logistik\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"cc-desc\"\u003eZoll, Inspektion und Vorbereitung werden lokal vor dem Versand abgewickelt.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"cc-col\"\u003e\n\u003cdiv class=\"cc-row\"\u003e\u003cimg class=\"cc-icon\"  alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/ai-food-robotshop-contact.webp\" alt=\"DOBOT Pocket Go Daten Erfassungsplattform\"\u003e\n\u003cdiv class=\"cc-title\"\u003eEin Ansprechpartner\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"cc-desc\"\u003eVerkauf, Support und Rücksendungen werden von einem Team verwaltet.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"cc-col\"\u003e\n\u003cdiv class=\"cc-row\"\u003e\u003cimg class=\"cc-icon\"  alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/ai-food-robotshop-faq.webp\" alt=\"DOBOT Pocket Go Daten Erfassungsplattform\"\u003e\n\u003cdiv class=\"cc-title\"\u003eFAQ \u0026 Wissensdatenbank\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"cc-desc\"\u003eDokumente, Tutorials und Community-Antworten, um schneller voranzukommen.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- ### ai-food-robotshop ### --\u003e\u003c!-- START rs-hero-video --\u003e\n\n\u003cdiv style=\"height:18px; line-height:0; font-size:0; clear:both;\"\u003e \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:center;\"\u003e\n\u003cvideo style=\"max-width:100%; border-radius:12px; display:block; margin:0 auto;\" autoplay loop muted playsinline poster=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/dobot-pocket-go-data-collection-platform-poster.webp\" src=\"https:\/\/cdn.robotshop.com\/media\/D\/Dot\/RB-Dot-114\/vid\/dobot-pocket-go-data-collection-platform-video-r1.webm\"\u003e \u003c\/video\u003e\n\u003c\/div\u003e\n\n\u003cdiv style=\"height:18px; line-height:0; font-size:0; clear:both;\"\u003e \u003c\/div\u003e\n\u003c!-- END rs-hero-video --\u003e\u003c!-- START rs-stat-highlights --\u003e\n\n\u003cdiv style=\"height:18px;line-height:0;font-size:0;clear:both;\"\u003e \u003c\/div\u003e\n\n\u003csection class=\"rs-section rs-stat-highlights\" aria-label=\"Stat highlights\"\u003e\n\u003cstyle type=\"text\/css\"\u003e@import url('https:\/\/fonts.googleapis.com\/css2?family=Arimo:wght@400;600;700\u0026family=Poppins:wght@700;800;900\u0026display=swap');\n  .rs-section.rs-stat-highlights img{display:block;vertical-align:top;max-width:100%;margin:0;padding:0;border:0}\n  .rs-section.rs-stat-highlights{background:transparent;padding:0px;border-radius:0px;font-family:'Arimo',Arial,sans-serif}\n  .rs-section.rs-stat-highlights .rs-sh-grid{background:#f8f8f8;padding:28px 20px;border-radius:15px;display:flex;flex-wrap:wrap;justify-content:space-around;gap:24px;text-align:center;box-shadow:0 8px 24px -4px rgba(0,0,0,0.12)}\n  .rs-section.rs-stat-highlights .rs-sh-item{flex:1 1 22%;min-width:140px}\n  .rs-section.rs-stat-highlights .rs-sh-lbl{font-size:11px;font-weight:550;letter-spacing:.08em;text-transform:uppercase;color:#000000;line-height:1.4;margin:0 0 6px}\n  .rs-section.rs-stat-highlights .rs-sh-val{font-size:40px;font-weight:700;line-height:1.1;margin:0;letter-spacing:-.5px;color:#00456b;text-shadow:0 3px 8px rgba(0,0,0,0.18);font-family:'Poppins',Arial,sans-serif}\n  @media(max-width:600px){.rs-section.rs-stat-highlights .rs-sh-item{flex:1 1 40%}}\n\u003c\/style\u003e\n\u003cdiv class=\"rs-sh-grid\"\u003e\n\u003cdiv class=\"rs-sh-item\"\u003e\n\u003cdiv class=\"rs-edit rs-sh-lbl\"\u003eKameraauflösung\u003c\/div\u003e\n\n\u003cdiv class=\"rs-edit rs-sh-val\"\u003e5,3K\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"rs-sh-item\"\u003e\n\u003cdiv class=\"rs-edit rs-sh-lbl\"\u003eSichtfeld\u003c\/div\u003e\n\n\u003cdiv class=\"rs-edit rs-sh-val\"\u003e155°\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"rs-sh-item\"\u003e\n\u003cdiv class=\"rs-edit rs-sh-lbl\"\u003eMax Demos \/ Tag\u003c\/div\u003e\n\n\u003cdiv class=\"rs-edit rs-sh-val\"\u003e4.000\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"rs-sh-item\"\u003e\n\u003cdiv class=\"rs-edit rs-sh-lbl\"\u003eNutzlastkapazität\u003c\/div\u003e\n\n\u003cdiv class=\"rs-edit rs-sh-val\"\u003e2 kg\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- END rs-stat-highlights --\u003e\u003c!-- START rs-card-grid --\u003e\n\n\u003csection class=\"rs-section rs-card-grid\"\u003e\n\u003cstyle type=\"text\/css\"\u003e@import url('https:\/\/fonts.googleapis.com\/css2?family=Arimo:wght@400;600;700\u0026family=Poppins:wght@700;800;900\u0026display=swap');\n  .rs-section.rs-card-grid img{display:block;vertical-align:top;max-width:100%;margin:0;padding:0;border:0}\n  .rs-section.rs-card-grid{background:#f8f8f8;border-radius:15px;padding:50px 20px 75px;box-shadow:0 8px 24px -4px rgba(0,0,0,0.12);font-family:'Arimo',Arial,sans-serif}\n  .rs-section.rs-card-grid .ti-wrap{max-width:980px;margin:0 auto}\n  .rs-section.rs-card-grid .ti-head{text-align:center;margin:0 0 22px}\n  .rs-section.rs-card-grid .ti-head-title{font-size:30px;font-weight:550;margin:0;color:#111827;font-family:'Poppins',Arial,sans-serif}\n  .rs-section.rs-card-grid .ti-head p{margin:10px auto 0;max-width:860px;color:#667085;line-height:1.6}\n  .rs-section.rs-card-grid .ti-grid{display:grid;gap:18px;grid-template-columns:repeat(2,minmax(0,1fr))}\n  .rs-section.rs-card-grid .ti-card{background:#ffffff;border:1px solid #e6eaf2;border-radius:12px;box-shadow:0 10px 24px rgba(17,24,39,.06);padding:22px 24px}\n  .rs-section.rs-card-grid .ti-icon{width:50px;height:50px;border-radius:9px;background:#eef2ff;display:flex;align-items:center;justify-content:center;margin:0 0 12px}\n  .rs-section.rs-card-grid .ti-icon img{width:40px;height:40px}\n  .rs-section.rs-card-grid .ti-title{font-weight:550;color:#111827;margin:0 0 8px;font-family:'Poppins',Arial,sans-serif}\n  .rs-section.rs-card-grid .ti-body{margin:0;color:#667085;line-height:1.6}\n  @media(max-width:768px){.rs-section.rs-card-grid .ti-grid{grid-template-columns:1fr}}\n\u003c\/style\u003e\n\u003cdiv class=\"ti-wrap\"\u003e\n\u003cdiv class=\"ti-head\"\u003e\n\u003cdiv class=\"ti-head-title\" aria-level=\"2\" role=\"heading\"\u003eWichtige Fähigkeiten\u003c\/div\u003e\n\n\u003cp\u003eDer Pocket Go kombiniert präzise Bewegungserfassung, Hochgeschwindigkeits-Videoaufzeichnung und eine vollständige KI-Trainingspipeline in einem einzigen tragbaren Kit und macht ihn zu einer der zugänglichsten Plattformen für die Datenerfassung beim Imitationslernen.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"ti-grid\"\u003e\u003c!-- icon-navigation.png: compass\/crosshair — best for 6D spatial pose tracking --\u003e\n\u003cdiv class=\"ti-card\"\u003e\n\u003cdiv class=\"ti-icon\"\u003e\u003cimg  alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/icon-navigation.webp\" alt=\"DOBOT Pocket Go Daten Erfassungsplattform\"\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"ti-title\" aria-level=\"3\" role=\"heading\"\u003e6D-Posen-Tracking\u003c\/div\u003e\n\n\u003cp class=\"ti-body\"\u003eVisuell-inertiales ORB-SLAM3 Monokular-SLAM fusioniert GoPro-Kamera- und IMU-Daten, um präzise 6D-Trajektorienanmerkungen automatisch aus jeder aufgezeichneten Sitzung zu generieren, ohne manuelle Kennzeichnung.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- icon-agibot-quick-operation.png: tapping hand — quick operation, high throughput --\u003e\n\n\u003cdiv class=\"ti-card\"\u003e\n\u003cdiv class=\"ti-icon\"\u003e\u003cimg  alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/icon-agibot-quick-operation.webp\" alt=\"DOBOT Pocket Go Daten Erfassungsplattform\"\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"ti-title\" aria-level=\"3\" role=\"heading\"\u003eHochdurchsatzsammlung\u003c\/div\u003e\n\n\u003cp class=\"ti-body\"\u003eDas leichte Handheld-Design und die drahtlose GoPro-Aufzeichnung ermöglichen bis zu 4.000 Demonstrationsdatensätze pro Betriebstag, was die groß angelegte Generierung von Handhabungsdatensätzen für Forschungs- und kommerzielle Teams gleichermaßen praktikabel macht.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- icon-robot-human-collaboration.png: handshake — cross-platform compatibility --\u003e\n\n\u003cdiv class=\"ti-card\"\u003e\n\u003cdiv class=\"ti-icon\"\u003e\u003cimg  alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/icon-robot-human-collaboration.webp\" alt=\"DOBOT Pocket Go Daten Erfassungsplattform\"\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"ti-title\" aria-level=\"3\" role=\"heading\"\u003eUniverselle Roboterkompatibilität\u003c\/div\u003e\n\n\u003cp class=\"ti-body\"\u003eGesammelte Daten und trainierte Modelle sind mit den vollständigen DOBOT Nova und CR Serien kollaborativer Arme kompatibel. Das modulare Endeffektor-Greifer-Kit wird direkt an einen kompatiblen Roboterarm angeschlossen, um sofortige autonome Inferenz ohne Hardwaremodifikationen zu ermöglichen.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- icon-ros-sdk-simulation.png: 3D wireframe cube — software pipeline, training environment --\u003e\n\n\u003cdiv class=\"ti-card\"\u003e\n\u003cdiv class=\"ti-icon\"\u003e\u003cimg  alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/icon-ros-sdk-simulation.webp\" alt=\"DOBOT Pocket Go Daten Erfassungsplattform\"\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"ti-title\" aria-level=\"3\" role=\"heading\"\u003eEnd-to-End KI-Trainingspipeline\u003c\/div\u003e\n\n\u003cp class=\"ti-body\"\u003eDer enthaltene Software-Stack deckt den gesamten Workflow von der Datenaufnahme und SLAM-Trajektorienverarbeitung bis hin zum Diffusionsmodelltraining und der Bereitstellung ab. Ein sekundäres Entwicklungs-SDK und eine Docker-basierte Umgebung werden für benutzerdefinierte Forschungsintegrationen bereitgestellt.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- END rs-card-grid --\u003e\u003c\/div\u003e\u003cbutton class= \"expandable-content__toggle\" aria-expanded=\"false\" aria-controls=\"main-description\"\u003e\u003cspan class=\"expandable-content__toggle-icon\"\u003e\u003c\/span\u003e\u003cspan class=\"expandable-content__toggle-text\" data-view-more=\"Mehr sehen\" data-view-less=\"Weniger sehen\"\u003eMehr sehen\u003c\/span\u003e\u003c\/button\u003e\u003c\/div\u003e\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\u003cbutton class=\"card__collapsible-button\" data-action=\"toggle-collapsible\" aria-expanded=\"false\" aria-controls=\"unique-tab-2\"\u003e\r\n\u003cspan class=\"card__title heading h3\"\u003eWas ist inbegriffen\u003c\/span\u003e\r\n\u003cspan\u003e\r\n\u003csvg focusable=\"false\" class=\"icon icon--arrow-bottom\" viewBox=\"0 0 12 8\" role=\"presentation\"\u003e\r\n\u003cpath stroke=\"currentColor\" stroke-width=\"2\" d=\"M10 2L6 6 2 2\" fill=\"none\" stroke-linecap=\"square\"\u003e\u003c\/path\u003e\r\n\u003c\/svg\u003e\r\n\u003c\/span\u003e\r\n\u003c\/button\u003e\r\n\u003cdiv id=\"unique-tab-2\" class=\"card__collapsible\"\u003e\r\n\u003cdiv class=\"card__collapsible-content\"\u003e\r\n\u003cdiv class=\"rte text--pull\"\u003e\r\n\u003c!-- START What's Included --\u003e\n\u003csection aria-label=\"What's included\" class=\"rs-inc\"\u003e\n\u003cstyle type=\"text\/css\"\u003e.rs-inc{padding-top:18px;--inc-bg:#f8f8f8;--inc-txt:#0b1220;--inc-muted:rgba(11,18,32,.70);--inc-accent:#00446a;--inc-radius:15px;--inc-pad:16px;--inc-indent:18px;font-family:'Arimo',system-ui,-apple-system,Segoe UI,Roboto,Arial,sans-serif;color:var(--inc-txt);}\n.rs-inc,.rs-inc *{box-sizing:border-box;}\n.rs-inc .wrap{border-radius:var(--inc-radius);background:var(--inc-bg);border:0;box-shadow:0 4px 16px rgba(11,18,32,.08),0 1px 4px rgba(11,18,32,.06);overflow:hidden;padding:var(--inc-pad);}\n.rs-inc .titlebar{display:flex;align-items:flex-end;justify-content:space-between;gap:12px;margin:0 0 12px 0;padding:0 0 10px 0;border-bottom:1px solid rgba(11,18,32,.10);}\n.rs-inc .title{margin:0 !important;font-family:'Poppins',sans-serif;font-size:18px;font-weight:550;color:var(--inc-txt) !important;letter-spacing:.2px;}\n.rs-inc .badge{margin:0 !important;color:var(--inc-muted) !important;font-weight:500;font-size:12px;letter-spacing:.2px;white-space:nowrap;}\n.rs-inc .badge b{color:var(--inc-accent);}\n.rs-inc .card{border:1px solid rgba(11,18,32,.14);border-radius:12px;background:#ffffff;padding:12px;min-width:0;}\n.rs-inc .bul{width:100%;border-collapse:collapse !important;border-spacing:0 !important;border:0 !important;margin:0;box-shadow:none !important;background-image:none !important;outline:0 !important;}\n.rs-inc .bul tbody,.rs-inc .bul tr,.rs-inc .bul td{border:0 !important;box-shadow:none !important;background-image:none !important;outline:0 !important;}\n.rs-inc .bul td{padding:0;vertical-align:top;}\n.rs-inc .bul .b{width:var(--inc-indent);padding-right:10px;color:rgba(11,18,32,.35);font-size:14px;line-height:1.5;}\n.rs-inc .bul .t{font-size:14px;font-weight:500;line-height:1.5;color:var(--inc-txt);padding-bottom:6px;}\n.rs-inc .bul tr:last-child .t{padding-bottom:0;}\n.rs-inc .note{margin:10px 0 0 0;color:var(--inc-muted);font-size:12px;line-height:1.35;}\n@media (max-width:640px){.rs-inc .wrap{padding:14px;}}\n\u003c\/style\u003e\n\u003cdiv class=\"wrap\"\u003e\n\u003cdiv class=\"titlebar\"\u003e\n\u003cdiv aria-level=\"3\" class=\"title\" role=\"heading\"\u003eDOBOT Pocket Go Daten Erfassungsplattform\u003c\/div\u003e\n\n\u003cp class=\"badge\"\u003eModell: \u003cb\u003e1200000404\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv aria-label=\"Included items\" class=\"card\"\u003e\n\u003ctable aria-label=\"Included list\" class=\"bul\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eHandheld-Greifer-Kit\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eArm-Montiertes Endeffektor-Greifer-Kit\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eGoPro Kamera (5,3K @ 60fps, 155\u0026deg; FOV, HyperSmooth 6.0)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eVollst\u0026auml;ndiger Software-Stack (Datenerfassung, Kalibrierung, Training, Bereitstellung)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"note\"\u003eOptional: Mini AI Computer (Intel i9 + NVIDIA RTX GPU, \u0026ge;11 GB VRAM) separat erh\u0026auml;ltlich f\u0026uuml;r Edge-Training und Inferenz. Kompatibler Roboterarm (Nova oder CR Serie) separat erh\u0026auml;ltlich und erforderlich f\u0026uuml;r autonome Inferenz.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- END What's Included --\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\u003cbutton class=\"card__collapsible-button\" data-action=\"toggle-collapsible\" aria-expanded=\"false\" aria-controls=\"unique-tab-3\"\u003e\r\n\u003cspan class=\"card__title heading h3\"\u003eMaße\u003c\/span\u003e\r\n\u003cspan\u003e\r\n\u003csvg focusable=\"false\" class=\"icon icon--arrow-bottom\" viewBox=\"0 0 12 8\" role=\"presentation\"\u003e\r\n\u003cpath stroke=\"currentColor\" stroke-width=\"2\" d=\"M10 2L6 6 2 2\" fill=\"none\" stroke-linecap=\"square\"\u003e\u003c\/path\u003e\r\n\u003c\/svg\u003e\r\n\u003c\/span\u003e\r\n\u003c\/button\u003e\r\n\u003cdiv id=\"unique-tab-3\" class=\"card__collapsible\"\u003e\r\n\u003cdiv class=\"card__collapsible-content\"\u003e\r\n\u003cdiv class=\"rte text--pull\"\u003e\r\n\u003c!-- START Dimensions --\u003e\n\u003csection aria-label=\"Dimensions\" class=\"rs-dims\"\u003e\n\u003cstyle type=\"text\/css\"\u003e.rs-dims{padding-top:18px;--dims-bg:#f8f8f8;--dims-txt:#0b1220;--dims-muted:rgba(11,18,32,.70);--dims-accent:#00446a;--dims-radius:15px;--dims-pad:16px;--dims-indent:18px;font-family:'Arimo',system-ui,-apple-system,Segoe UI,Roboto,Arial,sans-serif;color:var(--dims-txt);}\n.rs-dims,.rs-dims *{box-sizing:border-box;}\n.rs-dims .wrap{border-radius:var(--dims-radius);background:var(--dims-bg);border:0;box-shadow:0 4px 16px rgba(11,18,32,.08),0 1px 4px rgba(11,18,32,.06);overflow:hidden;padding:var(--dims-pad);}\n.rs-dims .titlebar{display:flex;align-items:flex-end;justify-content:space-between;gap:12px;margin:0 0 12px 0;padding:0 0 10px 0;border-bottom:1px solid rgba(11,18,32,.10);}\n.rs-dims .title{margin:0 !important;font-family:'Poppins',sans-serif;font-size:18px;font-weight:550;color:var(--dims-txt) !important;letter-spacing:.2px;}\n.rs-dims .badge{margin:0 !important;color:var(--dims-muted) !important;font-weight:500;font-size:12px;letter-spacing:.2px;white-space:nowrap;}\n.rs-dims .badge b{color:var(--dims-accent);}\n.rs-dims .hi{display:grid;grid-template-columns:repeat(12,minmax(0,1fr));gap:10px;}\n.rs-dims .tile{grid-column:span 6;border:1px solid rgba(11,18,32,.14);border-radius:12px;background:#ffffff;padding:12px;min-width:0;}\n.rs-dims .tile b{display:block;font-family:'Poppins',sans-serif;font-size:12px;letter-spacing:.2px;color:rgba(11,18,32,.65);margin-bottom:8px;line-height:1.15;font-weight:600;text-transform:uppercase;}\n.rs-dims .bul{width:100%;border-collapse:collapse !important;border-spacing:0 !important;border:0 !important;margin:0;box-shadow:none !important;background-image:none !important;outline:0 !important;}\n.rs-dims .bul tbody,.rs-dims .bul tr,.rs-dims .bul td{border:0 !important;box-shadow:none !important;background-image:none !important;outline:0 !important;}\n.rs-dims .bul td{padding:0;vertical-align:top;}\n.rs-dims .bul .b{width:var(--dims-indent);padding-right:10px;color:rgba(11,18,32,.35);font-size:14px;line-height:1.5;}\n.rs-dims .bul .t{font-size:14px;font-weight:500;line-height:1.5;color:var(--dims-txt);}\n.rs-dims .note{margin:10px 0 0 0;color:var(--dims-muted);font-size:12px;line-height:1.35;}\n@media (max-width:640px){.rs-dims .wrap{padding:14px;}.rs-dims .tile{grid-column:1 \/ -1;}}\n\u003c\/style\u003e\n\u003cdiv class=\"wrap\"\u003e\n\u003cdiv class=\"titlebar\"\u003e\n\u003cdiv aria-level=\"3\" class=\"title\" role=\"heading\"\u003eDOBOT Pocket Go Daten Erfassungsplattform\u003c\/div\u003e\n\n\u003cp class=\"badge\"\u003eModell: \u003cb\u003e1200000404\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"hi\"\u003e\n\u003cdiv class=\"tile\"\u003e\u003cb\u003eGreifer Nutzlast\u003c\/b\u003e\n\n\u003ctable class=\"bul\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eBis zu 2 kg\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"tile\"\u003e\u003cb\u003eKonfiguration\u003c\/b\u003e\n\n\u003ctable class=\"bul\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eHandheld und arm-montiert\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"note\"\u003ePhysische Abmessungen nicht in verf\u0026uuml;gbaren Quellen best\u0026auml;tigt. Kontaktieren Sie RobotShop f\u0026uuml;r detaillierte Spezifikationen.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- END Dimensions --\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\u003cbutton class=\"card__collapsible-button\" data-action=\"toggle-collapsible\" aria-expanded=\"false\" aria-controls=\"unique-tab-4\"\u003e\r\n\u003cspan class=\"card__title heading h3\"\u003eLinks\u003c\/span\u003e\r\n\u003cspan\u003e\r\n\u003csvg focusable=\"false\" class=\"icon icon--arrow-bottom\" viewBox=\"0 0 12 8\" role=\"presentation\"\u003e\r\n\u003cpath stroke=\"currentColor\" stroke-width=\"2\" d=\"M10 2L6 6 2 2\" fill=\"none\" stroke-linecap=\"square\"\u003e\u003c\/path\u003e\r\n\u003c\/svg\u003e\r\n\u003c\/span\u003e\r\n\u003c\/button\u003e\r\n\u003cdiv id=\"unique-tab-4\" class=\"card__collapsible\"\u003e\r\n\u003cdiv class=\"card__collapsible-content\"\u003e\r\n\u003cdiv class=\"rte text--pull\"\u003e\r\n\u003c!-- START Useful Links --\u003e\n\u003csection aria-label=\"Links\" class=\"rs-links\"\u003e\n\u003cstyle type=\"text\/css\"\u003e.rs-links{padding-top:18px;--links-bg:#f8f8f8;--links-txt:#0b1220;--links-muted:rgba(11,18,32,.70);--links-accent:#00446a;--links-radius:15px;--links-pad:16px;--links-indent:18px;--links-gap:10px;font-family:'Arimo',system-ui,-apple-system,Segoe UI,Roboto,Arial,sans-serif;color:var(--links-txt);}\n.rs-links,.rs-links *{box-sizing:border-box;}\n.rs-links hr{display:none !important;}\n.rs-links .rsln-wrap{border-radius:var(--links-radius);background:var(--links-bg);border:0;box-shadow:0 4px 16px rgba(11,18,32,.08),0 1px 4px rgba(11,18,32,.06);overflow:hidden;padding:var(--links-pad);}\n.rs-links .rsln-titlebar{display:flex;align-items:flex-end;justify-content:space-between;gap:12px;margin:0 0 12px 0;padding:0 0 10px 0;border-bottom:1px solid rgba(11,18,32,.10);}\n.rs-links .rsln-title{margin:0 !important;font-family:'Poppins',sans-serif;font-size:18px;font-weight:550;color:var(--links-txt) !important;letter-spacing:.2px;}\n.rs-links .rsln-badge{margin:0 !important;color:var(--links-muted) !important;font-weight:500;font-size:12px;letter-spacing:.2px;white-space:nowrap;}\n.rs-links .rsln-badge b{color:var(--links-accent);}\n.rs-links .rsln-grid{display:grid;grid-template-columns:repeat(12,minmax(0,1fr));gap:10px;}\n.rs-links .rsln-card{grid-column:span 12;border:1px solid rgba(11,18,32,.14);border-radius:12px;background:#ffffff;padding:12px;min-width:0;}\n.rs-links .rsln-head{margin:0 0 10px 0 !important;font-family:'Poppins',sans-serif;font-weight:600;letter-spacing:.2px;text-transform:uppercase;font-size:12px;color:rgba(11,18,32,.70) !important;}\n.rs-links .rsln-item{display:flex;align-items:flex-start;gap:var(--links-gap);margin:6px 0;padding:0;}\n.rs-links .rsln-item:first-child{margin-top:0;}.rs-links .rsln-item:last-child{margin-bottom:0;}\n.rs-links .rsln-bullet{width:var(--links-indent);flex:0 0 var(--links-indent);color:rgba(11,18,32,.35);font-size:14px;line-height:1.5;}\n.rs-links .rsln-text{min-width:0;font-size:14px;font-weight:500;line-height:1.5;color:var(--links-txt) !important;overflow-wrap:anywhere;}\n.rs-links .rsln-text a,.rs-links .rsln-text a:link,.rs-links .rsln-text a:visited{display:inline !important;font-weight:500 !important;color:var(--links-txt) !important;text-decoration:none !important;background:none !important;border:0 !important;padding:0 !important;margin:0 !important;opacity:1 !important;}\n.rs-links .rsln-text a:hover{text-decoration:underline !important;text-underline-offset:2px;}\n@media (max-width:640px){.rs-links .rsln-wrap{padding:14px;}}\n\u003c\/style\u003e\n\u003cdiv class=\"rsln-wrap\"\u003e\n\u003cdiv class=\"rsln-titlebar\"\u003e\n\u003cdiv aria-level=\"3\" class=\"rsln-title\" role=\"heading\"\u003eDOBOT Pocket Go Daten Erfassungsplattform\u003c\/div\u003e\n\n\u003cp class=\"rsln-badge\"\u003eModell: \u003cb\u003e1200000404\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"rsln-grid\"\u003e\n\u003cdiv class=\"rsln-card\"\u003e\n\u003cp class=\"rsln-head\"\u003eDokumentation\u003c\/p\u003e\n\n\u003cdiv class=\"rsln-item\"\u003e\n\u003cdiv class=\"rsln-bullet\"\u003e\u0026bull;\u003c\/div\u003e\n\n\u003cdiv class=\"rsln-text\"\u003e\u003ca href=\"https:\/\/cdn.robotshop.com\/media\/D\/Dot\/RB-Dot-114\/pdf\/DOBOT-PocketGo-Product-Introduction.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDOBOT Pocket Go Produkt Einf\u0026uuml;hrung\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"rsln-item\"\u003e\n\u003cdiv class=\"rsln-bullet\"\u003e\u0026bull;\u003c\/div\u003e\n\n\u003cdiv class=\"rsln-text\"\u003e\u003ca href=\"https:\/\/cdn.robotshop.com\/media\/D\/Dot\/RB-Dot-114\/pdf\/DOBOT-PocketGo-User-Guide-V1.0-20250429.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDOBOT Pocket Go Anleitung V1.0\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- END Useful Links --\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\u003cbutton class=\"card__collapsible-button\" data-action=\"toggle-collapsible\" aria-expanded=\"false\" aria-controls=\"unique-tab-7\"\u003e\r\n\u003cspan class=\"card__title heading h3\"\u003eSpezifikationen\u003c\/span\u003e\r\n\u003cspan\u003e\r\n\u003csvg focusable=\"false\" class=\"icon icon--arrow-bottom\" viewBox=\"0 0 12 8\" role=\"presentation\"\u003e\r\n\u003cpath stroke=\"currentColor\" stroke-width=\"2\" d=\"M10 2L6 6 2 2\" fill=\"none\" stroke-linecap=\"square\"\u003e\u003c\/path\u003e\r\n\u003c\/svg\u003e\r\n\u003c\/span\u003e\r\n\u003c\/button\u003e\r\n\u003cdiv id=\"unique-tab-7\" class=\"card__collapsible\"\u003e\r\n\u003cdiv class=\"card__collapsible-content\"\u003e\r\n\u003cdiv class=\"rte text--pull\"\u003e\r\n\u003c!-- START Specification --\u003e\n\u003csection aria-label=\"Specifications\" class=\"rs-spec\"\u003e\n\u003cstyle type=\"text\/css\"\u003e.rs-spec{padding-top:18px;--spec-bg:#f8f8f8;--spec-txt:#0b1220;--spec-muted:rgba(11,18,32,.70);--spec-accent:#00446a;--spec-radius:15px;--spec-pad:16px;font-family:'Arimo',system-ui,-apple-system,Segoe UI,Roboto,Arial,sans-serif;color:var(--spec-txt);}\n.rs-spec,.rs-spec *{box-sizing:border-box;}\n.rs-spec .wrap{border-radius:var(--spec-radius);background:var(--spec-bg);border:0;box-shadow:0 4px 16px rgba(11,18,32,.08),0 1px 4px rgba(11,18,32,.06);overflow:hidden;padding:var(--spec-pad);}\n.rs-spec .titlebar{display:flex;align-items:flex-end;justify-content:space-between;gap:12px;margin:0 0 12px 0;padding:0 0 10px 0;border-bottom:1px solid rgba(11,18,32,.10);}\n.rs-spec .title{margin:0 !important;font-family:'Poppins',sans-serif;font-size:18px;font-weight:550;color:var(--spec-txt) !important;letter-spacing:.2px;}\n.rs-spec .badge{margin:0 !important;color:var(--spec-muted) !important;font-weight:500;font-size:12px;letter-spacing:.2px;white-space:nowrap;}\n.rs-spec .badge b{color:var(--spec-accent);}\n.rs-spec .sectionlabel{margin:12px 0 6px 0;font-family:'Poppins',sans-serif;font-size:12px;color:var(--spec-muted);letter-spacing:.25px;font-weight:600;text-transform:uppercase;}\n.rs-spec .hi{display:grid;grid-template-columns:repeat(12,minmax(0,1fr));gap:10px;margin:10px 0 10px 0;}\n.rs-spec .tile{grid-column:span 3;border:1px solid rgba(11,18,32,.14);border-radius:12px;background:#ffffff;padding:12px;min-width:0;}\n.rs-spec .tile b{display:block;font-family:'Poppins',sans-serif;font-size:12px;letter-spacing:.2px;color:rgba(11,18,32,.65);margin:0 0 8px 0;line-height:1.15;font-weight:600;text-transform:uppercase;}\n.rs-spec .bul{width:100%;border-collapse:collapse !important;border-spacing:0 !important;border:0 !important;margin:0;box-shadow:none !important;background-image:none !important;outline:0 !important;}\n.rs-spec .bul tbody,.rs-spec .bul tr,.rs-spec .bul td{border:0 !important;box-shadow:none !important;background-image:none !important;outline:0 !important;}\n.rs-spec .bul td{padding:0;vertical-align:top;}\n.rs-spec .bul .b{width:18px;padding-right:10px;color:rgba(11,18,32,.35);font-size:14px;line-height:1.5;}\n.rs-spec .bul .t{font-size:14px;font-weight:500;line-height:1.5;color:var(--spec-txt);overflow-wrap:anywhere;}\n.rs-spec table.spec-table,.rs-spec table.spec-table tbody,.rs-spec table.spec-table tr,.rs-spec table.spec-table td{border:0 !important;border-collapse:collapse !important;box-shadow:none !important;outline:0 !important;background:transparent !important;background-image:none !important;}\n.rs-spec table.spec-table{width:100%;margin-top:10px;border-top:1px solid rgba(11,18,32,.10) !important;}\n.rs-spec table.spec-table tr{border-bottom:1px solid rgba(11,18,32,.08) !important;}\n.rs-spec table.spec-table tr:last-child{border-bottom:none !important;}\n.rs-spec table.spec-table td{padding:10px 0;vertical-align:top;font-size:14px;}\n.rs-spec table.spec-table td:not(:last-child){padding-right:14px;}\n.rs-spec .spec-k{color:var(--spec-muted);font-weight:500;width:40%;}\n.rs-spec .spec-v{color:var(--spec-txt);font-weight:500;overflow-wrap:anywhere;}\n@media (max-width:980px){.rs-spec .tile{grid-column:span 6;}}\n@media (max-width:640px){.rs-spec .wrap{padding:14px;}.rs-spec .tile{grid-column:1 \/ -1;}.rs-spec table.spec-table,.rs-spec table.spec-table tbody,.rs-spec table.spec-table tr,.rs-spec table.spec-table td{display:block;width:100%;}.rs-spec table.spec-table tr{padding:10px 0;}.rs-spec table.spec-table td{padding:0;padding-right:0 !important;}.rs-spec .spec-k{width:100%;padding-bottom:2px;}.rs-spec .spec-v{display:block;padding:4px 0 2px 0;}}\n\u003c\/style\u003e\n\u003cdiv class=\"wrap\"\u003e\n\u003cdiv class=\"titlebar\"\u003e\n\u003cdiv aria-level=\"3\" class=\"title\" role=\"heading\"\u003eDOBOT Pocket Go Daten Erfassungsplattform\u003c\/div\u003e\n\n\u003cp class=\"badge\"\u003eModell: \u003cb\u003e1200000404\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"sectionlabel\"\u003eWichtige Highlights\u003c\/div\u003e\n\n\u003cdiv class=\"hi\"\u003e\n\u003cdiv class=\"tile\"\u003e\u003cb\u003eKamera\u003c\/b\u003e\n\n\u003ctable class=\"bul\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eGoPro Hero 12, 5,3K, 155\u0026deg; FOV\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"tile\"\u003e\u003cb\u003ePosen-Tracking\u003c\/b\u003e\n\n\u003ctable class=\"bul\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eORB-SLAM3, 6D visuell-inertial\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"tile\"\u003e\u003cb\u003eDurchsatz\u003c\/b\u003e\n\n\u003ctable class=\"bul\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eBis zu 4.000 Demos\/Tag\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"tile\"\u003e\u003cb\u003eRoboterarm\u003c\/b\u003e\n\n\u003ctable class=\"bul\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e\u0026bull;\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eNova und CR Serie (separat erh\u0026auml;ltlich)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"sectionlabel\"\u003eHandheld-Greifer-Kit\u003c\/div\u003e\n\n\u003ctable aria-label=\"Handheld Gripper Specifications\" class=\"spec-table\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eStandard \u0026Ouml;ffnungsbereich\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e73,5 \u0026plusmn; 1,5 mm\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eEffektive Greiftiefe\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e100 mm\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eMaximales Greifgewicht\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e\u0026le; 2 kg\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eNettogewicht\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e0,93 kg\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eFingerspitzen\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eWeiche Fingerspitze x1 (vorinstalliert) + Harte Fingerspitze x1\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eBetriebsumgebung\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eRaumtemperatur 16\u0026ndash;28 \u0026deg;C\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eKamera\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eGoPro Hero 12, 1\/1,9\u0026quot; CMOS, 24,69 MP, 155\u0026deg; FOV, HyperSmooth 6.0\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eVideoaufl\u0026ouml;sungen\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e5,3K (8:7) @ 30fps; 5,3K (16:9) @ 60fps; 4K (8:7) @ 60fps; 4K (9:16) @ 60fps\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003cdiv class=\"sectionlabel\"\u003eEndeffektor-Greifer-Kit\u003c\/div\u003e\n\n\u003ctable aria-label=\"End-Effector Gripper Specifications\" class=\"spec-table\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eStandard \u0026Ouml;ffnungsbereich\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e73,5 \u0026plusmn; 1,5 mm\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eObjektgr\u0026ouml;\u0026szlig;enbereich\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e5\u0026ndash;75 mm\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eEffektive Greiftiefe\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e100 mm\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eMaximales Greifgewicht\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e\u0026le; 2 kg\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eNettogewicht\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e1,58 kg\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eFingerspitzen\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eWeiche Fingerspitze x1 (vorinstalliert) + Harte Fingerspitze x1\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eBetriebsumgebung\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eRaumtemperatur 16\u0026ndash;28 \u0026deg;C\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eKamera\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eGoPro Hero 12, 1\/1,9\u0026quot; CMOS, 24,69 MP, 155\u0026deg; FOV, HyperSmooth 6.0\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eVideoaufl\u0026ouml;sungen\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e5,3K (8:7) @ 30fps; 5,3K (16:9) @ 60fps; 4K (8:7) @ 60fps; 4K (16:9) @ 120fps max\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003cdiv class=\"sectionlabel\"\u003eMobiler St\u0026auml;nder\u003c\/div\u003e\n\n\u003ctable aria-label=\"Mobile Stand Specifications\" class=\"spec-table\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eAbmessungen (L x B x H)\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e680 \u0026times; 600 \u0026times; 664 mm\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eRollen\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e4 Lenkrollen\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eKompatible Arme\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eNova 2, Nova 5, CR3, CR5, CR7 (CR10 und h\u0026ouml;her nicht kompatibel)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003cdiv class=\"sectionlabel\"\u003eSoftware und Systemanforderungen\u003c\/div\u003e\n\n\u003ctable aria-label=\"Software Specifications\" class=\"spec-table\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eUnterst\u0026uuml;tzte Betriebssysteme\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eUbuntu 20.04 oder 23.10 (nur Linux)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003ePosen-Tracking-Algorithmus\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eORB-SLAM3 (visuell-inertiales Monokular-SLAM), 6D-Posen-Tracking\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eTraining GPU (Minimum)\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e\u0026ge;11 GB VRAM (NVIDIA RTX 4090 empfohlen)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eInference GPU (Minimum)\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e\u0026ge;2 GB VRAM\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eEmpfohlene Trainingsdaten\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e\u0026ge;200 Aufgaben-Demonstrationen f\u0026uuml;r zuverl\u0026auml;ssige Leistung\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eMaximale Demo-Durchsatz\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eBis zu 4.000 Demonstrationen\/Tag\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eKompatible Roboterarme\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eVollst\u0026auml;ndige DOBOT Nova Serie und CR Serie (Nova 2, Nova 5, CR3, CR5, CR7)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eEnthaltene Software\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eDatenerfassung, SLAM-Trajektorienverarbeitung, Modelltraining, Bereitstellung, SDK\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003cdiv class=\"sectionlabel\"\u003eOptionaler Mini AI Reasoning Computer\u003c\/div\u003e\n\n\u003ctable aria-label=\"Optional AI Computer Specifications\" class=\"spec-table\" role=\"presentation\"\u003e\n\t\u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eProzessor\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eIntel Core i9 Serie\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eGrafikkarte\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eNVIDIA RTX Serie, \u0026ge;11 GB GDDR6, \u0026ge;4608 CUDA-Kerne, \u0026ge;192-Bit-Bus\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eSpeicher\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e64 GB DDR5\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eSpeicherplatz\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e2 TB SSD\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eAbmessungen\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e168 \u0026times; 168 \u0026times; 139 mm\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- END Specification --\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\u003c\/div\u003e","brand":"DOBOT","offers":[{"title":"Default Title","offer_id":52933824840016,"sku":"RB-Dot-114","price":7414.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0573\/1486\/9416\/files\/pp_4502681.webp?v=1776856626","url":"https:\/\/eu.robotshop.com\/de\/products\/dobot-pocket-go-daten-erfassungsplattform","provider":"RobotShop Europe","version":"1.0","type":"link"}