{"product_id":"dobot-pocket-go-data-collection-platform","title":"DOBOT Pocket Go Data Collection Platform","description":"\u003cdiv class=\"product-block-list__item product-block-list__item--description details_product\"\u003e\u003cdiv class=\"card\"\u003e\n\u003cdiv class=\"card__header\"\u003e\r\n\u003ch2 class=\"card__title heading h3\"\u003eDescription\u003c\/h2\u003e\r\n\u003c\/div\u003e\n\u003cdiv class=\"card__section expandable-content desc-view-more\" id=\"main-description\"\u003e\n\u003cdiv class=\"rte text--pull\"\u003e\n\u003cul\u003e\n\t\u003cli\u003eDOBOT Pocket Go Data Collection Platform\u003c\/li\u003e\n\t\u003cli\u003ePortable single-arm data collection kit for high-throughput robot manipulation demonstration recording\u003c\/li\u003e\n\t\u003cli\u003eGoPro Hero 12 camera: 5.3K, 155-degree FOV, HyperSmooth 6.0 stabilization, built-in IMU\u003c\/li\u003e\n\t\u003cli\u003eVisual-inertial SLAM (ORB-SLAM3) for precise 6D pose tracking during demonstrations\u003c\/li\u003e\n\t\u003cli\u003eHandheld gripper kit and arm-mounted end-effector gripper kit both included; up to 2 kg payload\u003c\/li\u003e\n\t\u003cli\u003eCompatible with full DOBOT Nova and CR series robot arms (sold separately)\u003c\/li\u003e\n\t\u003cli\u003eComplete software stack: data collection, SLAM trajectory processing, model training, and deployment\u003c\/li\u003e\n\t\u003cli\u003eUp to 4,000 demonstration datasets per day; optional Mini AI computer for edge training and inference\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThe \u003cstrong\u003eDOBOT Pocket Go Data Collection Platform\u003c\/strong\u003e is a compact, portable kit developed by DOBOT for teams that need to record large volumes of high-quality robot manipulation demonstrations efficiently. Designed to accelerate imitation learning workflows for embodied AI research, it pairs a GoPro Hero 12 action camera with a visual-inertial SLAM system to capture operator movements with the spatial precision required to build manipulation training datasets. The kit includes both a handheld gripper for human demonstrations and a robot arm end-effector gripper for deployment, allowing the same recorded data to be transferred directly to a compatible robot arm for autonomous inference. A compatible robot arm from the DOBOT Nova or CR series is required for inference and must be ordered separately.\u003c\/p\u003e\n\n\u003cp\u003eThe system supports up to 4,000 demonstration datasets per operating day, covering commercial, household, and industrial application scenarios from table cleaning to precision assembly. The GoPro Hero 12 provides high-resolution video with advanced optical stabilization suited to fast manipulation tasks, and the ORB-SLAM3 6D pose tracking system generates spatial annotations automatically from recorded sessions. The included mobile vertical stand accommodates Nova 2, Nova 5, CR3, CR5, and CR7 arms. An optional Mini AI computer with a dedicated GPU allows edge training and inference to be performed locally, reducing the round-trip time between data collection and model validation.\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 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!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\"\u003eWhy Buy From RobotShop\u003c\/div\u003e\n\n\u003cdiv class=\"cc-grid\"\u003e\n\u003cdiv class=\"cc-col\"\u003e\n\u003cdiv class=\"cc-row\"\u003e\n\u003cimg class=\"cc-icon\" alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/ai-food-robotshop-authorized.webp\"\u003e\n\u003cdiv class=\"cc-title\"\u003eOfficial Authorized Distributor\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"cc-desc\"\u003eGenuine products with manufacturer-approved warranty coverage.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"cc-col\"\u003e\n\u003cdiv class=\"cc-row\"\u003e\n\u003cimg class=\"cc-icon\" alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/ai-food-robotshop-logistics.webp\"\u003e\n\u003cdiv class=\"cc-title\"\u003eLocally Managed Logistics\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"cc-desc\"\u003eCustoms, inspection, and prep handled locally before shipment.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"cc-col\"\u003e\n\u003cdiv class=\"cc-row\"\u003e\n\u003cimg class=\"cc-icon\" alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/ai-food-robotshop-contact.webp\"\u003e\n\u003cdiv class=\"cc-title\"\u003eSingle Point of Contact\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"cc-desc\"\u003eSales, support, and returns managed by one team.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"cc-col\"\u003e\n\u003cdiv class=\"cc-row\"\u003e\n\u003cimg class=\"cc-icon\" alt src=\"https:\/\/cdn.robotshop.com\/media\/d\/dot\/rb-dot-114\/img\/ai-food-robotshop-faq.webp\"\u003e\n\u003cdiv class=\"cc-title\"\u003eFAQ \u0026amp; Knowledge Base\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cp class=\"cc-desc\"\u003eDocs, tutorials, and community answers to move faster.\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\"\u003eCamera Resolution\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\"\u003eField of View\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 \/ Day\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\"\u003ePayload Capacity\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 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.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\"\u003eKey Capabilities\u003c\/div\u003e\n\n\u003cp\u003eThe Pocket Go combines precision motion capture, high-speed video recording, and a full AI training pipeline into a single portable kit, making it one of the most accessible platforms for imitation learning data collection.\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"ti-grid\"\u003e\n\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\"\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"ti-title\" aria-level=\"3\" role=\"heading\"\u003e6D Pose Tracking\u003c\/div\u003e\n\n\u003cp class=\"ti-body\"\u003eVisual-inertial ORB-SLAM3 monocular SLAM fuses GoPro camera and IMU data to generate precise 6D trajectory annotations automatically from each recorded session, without any manual labeling.\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\"\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"ti-title\" aria-level=\"3\" role=\"heading\"\u003eHigh-Throughput Collection\u003c\/div\u003e\n\n\u003cp class=\"ti-body\"\u003eThe lightweight handheld design and wireless GoPro recording enable up to 4,000 demonstration datasets per operating day, making large-scale manipulation dataset generation practical for research and commercial teams alike.\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\"\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"ti-title\" aria-level=\"3\" role=\"heading\"\u003eUniversal Robot Compatibility\u003c\/div\u003e\n\n\u003cp class=\"ti-body\"\u003eCollected data and trained models are compatible across the full DOBOT Nova and CR series collaborative arms. The modular end-effector gripper kit attaches directly to a compatible robot arm for immediate autonomous inference without hardware modifications.\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\"\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"ti-title\" aria-level=\"3\" role=\"heading\"\u003eEnd-to-End AI Training Pipeline\u003c\/div\u003e\n\n\u003cp class=\"ti-body\"\u003eThe included software stack covers the full workflow from data ingestion and SLAM trajectory processing to diffusion model training and deployment. A secondary development SDK and Docker-based environment are provided for custom research integrations.\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\n\u003c\/div\u003e\n\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=\"View more\" data-view-less=\"View less\"\u003eView more\u003c\/span\u003e\u003c\/button\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\n\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\"\u003eWhat's Included\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 Data Collection Platform\u003c\/div\u003e\n\n\u003cp class=\"badge\"\u003eModel: \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•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eHandheld Gripper Kit\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eArm-Mounted End-Effector Gripper Kit\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"b\"\u003e•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eGoPro Camera (5.3K @ 60fps, 155° 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•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eFull Software Stack (data collection, calibration, training, deployment)\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, ≥11 GB VRAM) available separately for edge training and inference. Compatible robot arm (Nova or CR series) sold separately and required for autonomous inference.\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\n\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\n\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\"\u003eDimensions\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 Data Collection Platform\u003c\/div\u003e\n\n\u003cp class=\"badge\"\u003eModel: \u003cb\u003e1200000404\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"hi\"\u003e\n\u003cdiv class=\"tile\"\u003e\n\u003cb\u003eGripper Payload\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•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eUp to 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\n\u003cb\u003eConfiguration\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•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eHandheld and arm-mounted\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\"\u003ePhysical dimensions not confirmed in available sources. Contact RobotShop for detailed specifications.\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\n\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\n\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 Data Collection Platform\u003c\/div\u003e\n\n\u003cp class=\"rsln-badge\"\u003eModel: \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\"\u003eDocumentation\u003c\/p\u003e\n\n\u003cdiv class=\"rsln-item\"\u003e\n\u003cdiv class=\"rsln-bullet\"\u003e•\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 Product Introduction\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"rsln-item\"\u003e\n\u003cdiv class=\"rsln-bullet\"\u003e•\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 User Guide 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\n\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\n\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\"\u003eSpecifications\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 Data Collection Platform\u003c\/div\u003e\n\n\u003cp class=\"badge\"\u003eModel: \u003cb\u003e1200000404\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"sectionlabel\"\u003eKey Highlights\u003c\/div\u003e\n\n\u003cdiv class=\"hi\"\u003e\n\u003cdiv class=\"tile\"\u003e\n\u003cb\u003eCamera\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•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eGoPro Hero 12, 5.3K, 155° 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\n\u003cb\u003ePose 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•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eORB-SLAM3, 6D visual-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\n\u003cb\u003eThroughput\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•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eUp to 4,000 demos\/day\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\n\u003cb\u003eRobot Arm\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•\u003c\/td\u003e\n\t\t\t\u003ctd class=\"t\"\u003eNova and CR series (sold separately)\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 Gripper 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 Opening Range\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e73.5 ± 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\"\u003eEffective Gripping Depth\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\"\u003eMax Gripping Weight\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e≤ 2 kg\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eNet Weight\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\"\u003eFingertips\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eSoft fingertip x1 (pre-installed) + Hard fingertip x1\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eOperating Environment\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eRoom temperature 16–28°C\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eCamera\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eGoPro Hero 12, 1\/1.9\" CMOS, 24.69 MP, 155° 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\"\u003eVideo Resolutions\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\"\u003eEnd-Effector Gripper 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 Opening Range\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e73.5 ± 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\"\u003eObject Size Range\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e5–75 mm\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eEffective Gripping Depth\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\"\u003eMax Gripping Weight\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e≤ 2 kg\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eNet Weight\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\"\u003eFingertips\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eSoft fingertip x1 (pre-installed) + Hard fingertip x1\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eOperating Environment\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eRoom temperature 16–28°C\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eCamera\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eGoPro Hero 12, 1\/1.9\" CMOS, 24.69 MP, 155° 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\"\u003eVideo Resolutions\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\"\u003eMobile Stand\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\"\u003eDimensions (L x W x H)\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e680 × 600 × 664 mm\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eCasters\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e4 swivel casters\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eCompatible Arms\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eNova 2, Nova 5, CR3, CR5, CR7 (CR10 and above not compatible)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003cdiv class=\"sectionlabel\"\u003eSoftware and System Requirements\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\"\u003eSupported OS\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eUbuntu 20.04 or 23.10 (Linux only)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003ePose Tracking Algorithm\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eORB-SLAM3 (visual-inertial monocular SLAM), 6D pose 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≥11 GB VRAM (NVIDIA RTX 4090 recommended)\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≥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\"\u003eRecommended Training Data\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e≥200 task demonstrations for reliable performance\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eMax Demo Throughput\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eUp to 4,000 demonstrations\/day\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eCompatible Robot Arms\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eFull DOBOT Nova series and CR series (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\"\u003eSoftware Included\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eData collection, SLAM trajectory processing, model training, deployment, SDK\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003cdiv class=\"sectionlabel\"\u003eOptional 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\"\u003eProcessor\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eIntel Core i9 series\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd class=\"spec-k\"\u003eGraphics Card\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003eNVIDIA RTX series, ≥11 GB GDDR6, ≥4608 CUDA cores, ≥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\"\u003eMemory\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\"\u003eStorage\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\"\u003eDimensions\u003c\/td\u003e\n\t\t\t\u003ctd class=\"spec-v\"\u003e168 × 168 × 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\n\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\/products\/dobot-pocket-go-data-collection-platform","provider":"RobotShop Europe","version":"1.0","type":"link"}