Name: DOBOT X-Trainer AI Robot Operating Platform
Brand: DOBOT
SKU: DBR019
Price: 1368919.28 INR
Availability: InStock

{"id":10228680622397,"title":"DOBOT X-Trainer AI Robot Operating Platform","handle":"dobot-x-trainer-ai-robot-operating-platform","description":"\u003ch2 style=\"text-align: center;\"\u003eDOBOT X-Trainer\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eAI Data Collection and Training Robot System\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cimg height=\"437\" width=\"577\" src=\"https:\/\/www.muzix.eu\/shop_ordered\/96483\/pic\/Oktatasi_Celu_Robotok_Kategoria\/log_desc_10_10.png\" alt=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eUnlimited Versatility in Various Applications\u003c\/h2\u003e\n\u003cp style=\"text-align: center; max-width: 900px; margin: 0 auto; padding: 0 20px;\"\u003eDOBOT X-Trainer is an advanced AI data collection and training robot system designed to enable AGI research and practical AI projects. With diverse data collection and model training capabilities, X-Trainer ensures rapid skill acquisition and seamless execution of complex instructions, perfect for AGI scene stimulation and research and practical projects and competitions.\u003c\/p\u003e\n\u003cstyle\u003e\n @media (max-width: 768px) {\n .feature-grid {\n display: block !important;\n }\n .feature-item {\n width: 100% !important;\n margin: 20px 0 !important;\n }\n .content-row {\n display: block !important;\n }\n .content-col {\n width: 100% !important;\n display: block !important;\n padding: 10px !important;\n }\n .content-col img {\n margin: 20px 0 !important;\n }\n }\n\u003c\/style\u003e\n\u003cdiv class=\"feature-grid\" style=\"text-align: center; max-width: 1200px; margin: 0 auto; display: flex; flex-wrap: wrap; justify-content: center;\"\u003e\n\u003cdiv class=\"feature-item\" style=\"width: 23%; min-width: 200px; text-align: center; margin: 10px; flex: 1 1 200px;\"\u003e\n\u003cdiv style=\"font-size: 48px; color: rgb(50, 100, 200); margin-bottom: 10px;\"\u003e🧠\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: bold;\"\u003eInstant Imitation\u003cbr\u003eLearning Networks\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"feature-item\" style=\"width: 23%; min-width: 200px; text-align: center; margin: 10px; flex: 1 1 200px;\"\u003e\n\u003cdiv style=\"font-size: 48px; color: rgb(50, 100, 200); margin-bottom: 10px;\"\u003e⚙️\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: bold;\"\u003eEffortless Smooth\u003cbr\u003eMotion Control\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"feature-item\" style=\"width: 23%; min-width: 200px; text-align: center; margin: 10px; flex: 1 1 200px;\"\u003e\n\u003cdiv style=\"font-size: 48px; color: rgb(50, 100, 200); margin-bottom: 10px;\"\u003e🤖\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: bold;\"\u003eHigh Precision\u003cbr\u003eSlavehands\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"feature-item\" style=\"width: 23%; min-width: 200px; text-align: center; margin: 10px; flex: 1 1 200px;\"\u003e\n\u003cdiv style=\"font-size: 48px; color: rgb(50, 100, 200); margin-bottom: 10px;\"\u003e🤝\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: bold;\"\u003eSafe Human-Robot\u003cbr\u003eCollaboration\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eLightweight Base for Quick Deployment\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe lightweight base design reduces weight by 70%, making it easy to transport and deploy. Equipped with 4 ergonomic handles, it offers exceptional flexibility for setup. Additionally, its 6 mounting feet provide enhanced stability, enabling secure placement on various platforms.\u003c\/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cimg alt=\"DOBOT X-Trainer\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/DOBOT-X-Trainer-fullscreen-01_jpg.webp?v=1770630268\" style=\"max-width: 100%; height: auto; display: block; margin: 20px auto;\"\u003e\u003c\/h4\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eArtificial General Intelligence Scene Simulation \u0026amp; Research\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe X-Trainer platform enables researchers to simulate a wide range of real-life and workplace scenarios, from robots assisting with cooking at home to performing complex tasks like assembly and material handling in industrial environments. This allows for in-depth exploration of the practicality and usability of embodied intelligence devices in everyday applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/long_desc_3_3_enhanced_natural.png?v=1770808006\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eAI Large-Scale Model Data Collection \u0026amp; Training\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe X-Trainer platform excels in collecting diverse, contextualized data such as images, videos, and positional information, making it ideal for training embodied intelligence AI models. It seamlessly fulfills the data collection and training needs of both academic research and industrial applications.\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/www.muzix.eu\/shop_ordered\/96483\/pic\/Oktatasi_Celu_Robotok_Kategoria\/long_desc_2_2.png\" alt=\"\"\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eEffortless \u0026amp; Smooth Motion Control\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 300.969px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 300.969px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 20px; width: 33%; height: 300.969px;\"\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/e1_pc.png?v=1770794050\"\u003e\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003eUltra Lightweight Design\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eKeeps hand loads under only 400g, uses 3D printed monolithic joints to reduce parts and achieve a lightweight user experience.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 20px; width: 33%; text-align: center; height: 300.969px;\"\u003e\n\u003cp\u003e\u003cbr\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/e2.png?v=1770794067\"\u003e\u003c\/p\u003e\n\u003ch3\u003eEasy-to-Use Buttons\u003c\/h3\u003e\n\u003cp\u003eMaster hand has unlock and record buttons - the unlock enables quick locking\/unlocking of the master hand pose, while the record button allows convenient control.\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 20px; width: 33%; text-align: center; height: 300.969px;\"\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/e3.png?v=1770794030\"\u003e\u003c\/p\u003e\n\u003ch3\u003eSmooth Operation\u003c\/h3\u003e\n\u003cp\u003eFeatures spring-assisted chassis, high-performance servos for precise motion, and an optimized primary manipulator for intuitive teleoperation.\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSafe Human-Robot Collaboration\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"Human-Robot Collaboration\" src=\"https:\/\/www.dobot-robots.com\/media\/upload\/2024\/x-trainer\/safe.png\" class=\"img\"\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; border: 1px solid #000;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003c!-- Column 1 --\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 24px; vertical-align: top; width: 33%; text-align: center;\"\u003e\n\u003ch3 style=\"margin: 0 0 10px 0;\"\u003eBrilliant Safety Designs\u003c\/h3\u003e\n\u003cdiv style=\"height: 1px; background: #000; margin-bottom: 15px;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp style=\"margin: 0; line-height: 1.6;\"\u003eIncludes auto de-sync of master-slave arms on power loss\/alarms, master hand drop detection, and low-speed master-slave sync to prevent collisions.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c!-- Column 2 --\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 24px; vertical-align: top; width: 33%; text-align: center;\"\u003e\n\u003ch3 style=\"margin: 0 0 10px 0;\"\u003eCollision Detection\u003c\/h3\u003e\n\u003cdiv style=\"height: 1px; background: #000; margin-bottom: 15px;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp style=\"margin: 0; line-height: 1.6;\"\u003eThe DOBOT X-Trainer's Nova2 cobot has 5-level collision detection and ISO15066 certification for safe human-robot interaction.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c!-- Column 3 --\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 24px; vertical-align: top; width: 33%; text-align: center;\"\u003e\n\u003ch3 style=\"margin: 0 0 10px 0;\"\u003eAll-Around Protection\u003c\/h3\u003e\n\u003cdiv style=\"height: 1px; background: #000; margin-bottom: 15px;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp style=\"margin: 0; line-height: 1.6;\"\u003eThe workspace is padded with flexible EVA foam, effectively cushioning against accidental drops of the end-effector and minimizing damage risk to the gripper and arm.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eKey Features\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse;\"\u003e\n\u003c!-- Header --\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; width: 33.2727%; text-align: center;\"\u003e\u003cstrong\u003eCategory\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; width: 66.7273%; text-align: center;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c!-- Direct Imitation Learning Networks --\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 33.2727%;\"\u003e\u003cstrong\u003eDirect Imitation Learning Networks\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eFast Learning:\u003c\/strong\u003e Training time reduced by 70%. Routine scenario training (e.g., washing dishes or folding clothes) can be completed in just 2 hours.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eInterference Resistance:\u003c\/strong\u003e During autonomous tasks, DOBOT X-Trainer quickly corrects real-time disturbances (e.g., recognizing and removing stains during dishwashing), demonstrating advanced AI adaptability.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eLow Latency Operation:\u003c\/strong\u003e 25Hz end-to-end high-performance motion interface improves response speed by 150% compared to similar products, ensuring smoother and more stable operation.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- High Precision Slave Hands --\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 33.2727%;\"\u003e\u003cstrong\u003eHigh Precision Slave Hands\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eIndustrial Grade Precision:\u003c\/strong\u003e Achieves ±0.05mm repeat positioning accuracy for precise experimental operations and sensitive data collection.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eLarge Scale Motion:\u003c\/strong\u003e 625mm range per arm, expandable to 1200mm in dual-arm mode, with 6-axis flexibility for wide workspace coverage.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eHigh Load Capacity and Speed:\u003c\/strong\u003e Supports 2kg single-arm and 3kg dual-arm load capacity, with a top speed of 1.6m\/s for efficient data collection.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- Secondary Development --\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 33.2727%;\"\u003e\u003cstrong\u003eSecondary Development\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eComplete Data Collection: \u003c\/strong\u003eIncludes a full SDK covering data collection, model training, and autonomous inference workflow, with detailed documentation to guide users through the entire pipeline.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eOpen API Interfaces:\u003c\/strong\u003e Access master\/slave joint angles, gripper control, camera RGB\/depth data, and export specialized data formats for integration with custom AI models and domain-specific neural networks.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 803.345px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; width: 32.9153%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eComponent\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; width: 27.1921%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eParameter\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; width: 39.8927%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c!-- MASTER HAND --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 215.532px; width: 32.9153%;\" rowspan=\"10\"\u003e\u003cstrong\u003eMaster Hand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e1 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDOF\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eMax Working Radius\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e437 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eMotor\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eHigh-performance servo motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eButtons\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eUnlock button, record button\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eBase Dimensions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e149 × 130 × 58 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003ePower Input\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e100V~240V AC, 50\/60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eRated Voltage\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eDC 12V 2A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eCommunication Interface\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eUSB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003eOperating Environment\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eTemperature: 0°C–40°C; Humidity: 25%–85% (non-condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- BASE --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 215.532px; width: 32.9153%;\" rowspan=\"9\"\u003e\u003cstrong\u003eBase\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e85 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDimensions (Folded)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e1630 × 1060 × 380 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDimensions (Unfolded)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e1530 × 960 × 1300 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003ePower Input\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e100V~240V AC, 50\/60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eRated Power\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e150W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eDC 24V ×6, max 4A per port, total output 4A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eCommunication Interface\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eEthernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eCommunication Protocol\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eTCP\/IP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003eIndicators \u0026amp; Safety\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eTricolor indicator ×1, Emergency stop switches ×2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- NOVA 2 SLAVE-HAND GRIPPER --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 117.563px; width: 32.9153%;\" rowspan=\"5\"\u003e\u003cstrong\u003eNova 2 Slave-Hand Gripper\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e0.6 kg (including camera \u0026amp; bracket)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eMax Opening Distance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e95 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eClamping Force\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e0–15N\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDimensions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e160 × 202 × 75 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003eOperating Environment\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eTemperature: 0°C–40°C; Humidity: 25%–85% (non-condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- DOBOT NOVA 2 --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; height: 137.156px; text-align: center; width: 32.9153%;\" rowspan=\"6\"\u003e\u003cstrong\u003eDOBOT Nova 2 (Not Included)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e11 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDOF\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003ePayload\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eRepeatability\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e0.05 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eMax Working Radius\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e625 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003eOperating Environment\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eTemperature: 0°C–40°C; Humidity: 25%–85% (non-condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- CAMERA --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; height: 97.969px; text-align: center; width: 32.9153%;\" rowspan=\"5\"\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eModel\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eDepth-sensing camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDimensions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e36.5 × 19.4 × 10.5 mm (module)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDepth FOV\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e87° × 58°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDepth Output Resolution\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eUp to 1280 × 720\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eCommunication Interface\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eUSB 2.0 \/ USB 3.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eResources\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 88.3752px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003eDobot X-Trainer (Lightweight Base) User Guide\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Dobot_X-Trainer_Lightweight_Base_User_Guide_V1.1_20240731_en.pdf?v=1770795892\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003eDobot X-Trainer Operation Guide and FAQ\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Dobot_X-Trainer_Operation_Guide_and_FAQ.pdf?v=1770795890\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003eDobot X-Trainer With UI Control Interface Version User Manual\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/dobot_xtrainer-with_UI_control_interface_version_user_manual_240819.pdf?v=1770795890\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003eDobot CRStudio User Guide (CR\u0026amp;Nova) \u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Dobot_CRStudio_User_Guide_CR_Nova_V4.13.0_V2.14.0_20240105_en.pdf?v=1770795892\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 10px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 10px; text-align: center;\"\u003eDobotStudio Pro 2.8 User Guide (CR\u0026amp;Nova)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 10px; text-align: center;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/DobotStudio_Pro_User_Guide_CR_Nova_V2.8.0_20240206_en.pdf?v=1770795891\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackaging List for DOBOT X-Trainer\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eExcluding 2 Robot Arms and Nova 2\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; min-width: 300px;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eMaster Hand - Teleoperated Master Hand\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e2x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003e6 high DOF \u0026amp; Precision Master Hands with Grippers, including unlocking and record buttons\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eGripper - Slave-Hand Gripper\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e2x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003eMax opening \u0026amp; closing distance is 95 mm; Packed and shipped together with the Master Hands\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eCamera - End of Master Hands \u0026amp; Camera\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e3x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003eDepth-sensing camera; Packed and shipped together with the Master Hands\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eBase - Fixed Base\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e1x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003eFixed base for robotic arm; With Camera Bracket\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- Merged Optional Row --\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 100%;\"\u003e\u003cstrong\u003eOptional\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eComputer - Training Platform\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e1x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003eRecommended Specifications: RTX4090-24G GPU, Intel i9-14900KF, 32GB, 2TB\u003cbr\u003e* Training time is affected by specific scenarios, usage models and hardware configurations. Refer to the specific situation for assistance.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eProduct Demonstration\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"360\" width=\"640\" src=\"https:\/\/player.vimeo.com\/video\/958226076?h=e72156053a\" title=\"vimeo-player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe title=\"🧠 What happens when AI Training meets Robotics?\" src=\"https:\/\/www.youtube.com\/embed\/Ia_s1sSc9Y8\" height=\"389\" width=\"692\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e","published_at":"2026-02-11T17:45:50+05:30","created_at":"2026-02-09T15:15:29+05:30","vendor":"DOBOT","type":"Robot Kit","tags":["AGI Research Platform","AI Data Collection Robot","AI Training Robot","Clothes Folding Robot","Competition Robot Platform","Complete SDK Robot","Depth Sensing Camera","Dish Washing Robot","DOBOT","DOBOT X-Trainer","Dual Arm Robot","Imitation Learning Robot","Low Latency Robot","Master-Slave Robot System","Nova 2 Slave Arms","Open API Robot","RBT-KIT","Research Robot System","RGB Depth Data","Spring-Loaded Chassis","Teleoperation Robot","Ultra Lightweight Master Hand","±0.05mm Precision Robot"],"price":136891928,"price_min":136891928,"price_max":136891928,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":51364169482557,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"DBR019","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"DOBOT X-Trainer AI Robot Operating Platform","public_title":null,"options":["Default Title"],"price":136891928,"weight":95000,"compare_at_price":null,"inventory_management":"shopify","barcode":"DBR019","requires_selling_plan":false,"selling_plan_allocations":[],"quantity_rule":{"min":1,"max":null,"increment":1}}],"images":["\/\/thinkrobotics.com\/cdn\/shop\/files\/357206_000.webp?v=1770812063","\/\/thinkrobotics.com\/cdn\/shop\/files\/357206_001.webp?v=1770812063","\/\/thinkrobotics.com\/cdn\/shop\/files\/DBT-X-TRAINER.webp?v=1770812063","\/\/thinkrobotics.com\/cdn\/shop\/files\/safe.png?v=1770812063"],"featured_image":"\/\/thinkrobotics.com\/cdn\/shop\/files\/357206_000.webp?v=1770812063","options":["Title"],"media":[{"alt":null,"id":49280317751613,"position":1,"preview_image":{"aspect_ratio":1.0,"height":1000,"width":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/357206_000.webp?v=1770812063"},"aspect_ratio":1.0,"height":1000,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/357206_000.webp?v=1770812063","width":1000},{"alt":null,"id":49280320209213,"position":2,"preview_image":{"aspect_ratio":1.0,"height":1000,"width":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/357206_001.webp?v=1770812063"},"aspect_ratio":1.0,"height":1000,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/357206_001.webp?v=1770812063","width":1000},{"alt":null,"id":49280209846589,"position":3,"preview_image":{"aspect_ratio":1.0,"height":1000,"width":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/DBT-X-TRAINER.webp?v=1770812063"},"aspect_ratio":1.0,"height":1000,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/DBT-X-TRAINER.webp?v=1770812063","width":1000},{"alt":null,"id":49284350214461,"position":4,"preview_image":{"aspect_ratio":1.0,"height":1024,"width":1024,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/safe.png?v=1770812063"},"aspect_ratio":1.0,"height":1024,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/safe.png?v=1770812063","width":1024},{"alt":null,"id":49280222560573,"position":5,"preview_image":{"aspect_ratio":1.333,"height":360,"width":480,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/preview_images\/hqdefault_84d3c299-9a41-440c-96de-0ad0fd30452d.jpg?v=1770791028"},"aspect_ratio":1.77,"external_id":"Ia_s1sSc9Y8","host":"youtube","media_type":"external_video"}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003ch2 style=\"text-align: center;\"\u003eDOBOT X-Trainer\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eAI Data Collection and Training Robot System\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cimg height=\"437\" width=\"577\" src=\"https:\/\/www.muzix.eu\/shop_ordered\/96483\/pic\/Oktatasi_Celu_Robotok_Kategoria\/log_desc_10_10.png\" alt=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eUnlimited Versatility in Various Applications\u003c\/h2\u003e\n\u003cp style=\"text-align: center; max-width: 900px; margin: 0 auto; padding: 0 20px;\"\u003eDOBOT X-Trainer is an advanced AI data collection and training robot system designed to enable AGI research and practical AI projects. With diverse data collection and model training capabilities, X-Trainer ensures rapid skill acquisition and seamless execution of complex instructions, perfect for AGI scene stimulation and research and practical projects and competitions.\u003c\/p\u003e\n\u003cstyle\u003e\n @media (max-width: 768px) {\n .feature-grid {\n display: block !important;\n }\n .feature-item {\n width: 100% !important;\n margin: 20px 0 !important;\n }\n .content-row {\n display: block !important;\n }\n .content-col {\n width: 100% !important;\n display: block !important;\n padding: 10px !important;\n }\n .content-col img {\n margin: 20px 0 !important;\n }\n }\n\u003c\/style\u003e\n\u003cdiv class=\"feature-grid\" style=\"text-align: center; max-width: 1200px; margin: 0 auto; display: flex; flex-wrap: wrap; justify-content: center;\"\u003e\n\u003cdiv class=\"feature-item\" style=\"width: 23%; min-width: 200px; text-align: center; margin: 10px; flex: 1 1 200px;\"\u003e\n\u003cdiv style=\"font-size: 48px; color: rgb(50, 100, 200); margin-bottom: 10px;\"\u003e🧠\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: bold;\"\u003eInstant Imitation\u003cbr\u003eLearning Networks\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"feature-item\" style=\"width: 23%; min-width: 200px; text-align: center; margin: 10px; flex: 1 1 200px;\"\u003e\n\u003cdiv style=\"font-size: 48px; color: rgb(50, 100, 200); margin-bottom: 10px;\"\u003e⚙️\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: bold;\"\u003eEffortless Smooth\u003cbr\u003eMotion Control\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"feature-item\" style=\"width: 23%; min-width: 200px; text-align: center; margin: 10px; flex: 1 1 200px;\"\u003e\n\u003cdiv style=\"font-size: 48px; color: rgb(50, 100, 200); margin-bottom: 10px;\"\u003e🤖\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: bold;\"\u003eHigh Precision\u003cbr\u003eSlavehands\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"feature-item\" style=\"width: 23%; min-width: 200px; text-align: center; margin: 10px; flex: 1 1 200px;\"\u003e\n\u003cdiv style=\"font-size: 48px; color: rgb(50, 100, 200); margin-bottom: 10px;\"\u003e🤝\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: bold;\"\u003eSafe Human-Robot\u003cbr\u003eCollaboration\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eLightweight Base for Quick Deployment\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe lightweight base design reduces weight by 70%, making it easy to transport and deploy. Equipped with 4 ergonomic handles, it offers exceptional flexibility for setup. Additionally, its 6 mounting feet provide enhanced stability, enabling secure placement on various platforms.\u003c\/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cimg alt=\"DOBOT X-Trainer\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/DOBOT-X-Trainer-fullscreen-01_jpg.webp?v=1770630268\" style=\"max-width: 100%; height: auto; display: block; margin: 20px auto;\"\u003e\u003c\/h4\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eArtificial General Intelligence Scene Simulation \u0026amp; Research\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe X-Trainer platform enables researchers to simulate a wide range of real-life and workplace scenarios, from robots assisting with cooking at home to performing complex tasks like assembly and material handling in industrial environments. This allows for in-depth exploration of the practicality and usability of embodied intelligence devices in everyday applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/long_desc_3_3_enhanced_natural.png?v=1770808006\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eAI Large-Scale Model Data Collection \u0026amp; Training\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe X-Trainer platform excels in collecting diverse, contextualized data such as images, videos, and positional information, making it ideal for training embodied intelligence AI models. It seamlessly fulfills the data collection and training needs of both academic research and industrial applications.\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/www.muzix.eu\/shop_ordered\/96483\/pic\/Oktatasi_Celu_Robotok_Kategoria\/long_desc_2_2.png\" alt=\"\"\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eEffortless \u0026amp; Smooth Motion Control\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 300.969px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 300.969px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 20px; width: 33%; height: 300.969px;\"\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/e1_pc.png?v=1770794050\"\u003e\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003eUltra Lightweight Design\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eKeeps hand loads under only 400g, uses 3D printed monolithic joints to reduce parts and achieve a lightweight user experience.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 20px; width: 33%; text-align: center; height: 300.969px;\"\u003e\n\u003cp\u003e\u003cbr\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/e2.png?v=1770794067\"\u003e\u003c\/p\u003e\n\u003ch3\u003eEasy-to-Use Buttons\u003c\/h3\u003e\n\u003cp\u003eMaster hand has unlock and record buttons - the unlock enables quick locking\/unlocking of the master hand pose, while the record button allows convenient control.\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 20px; width: 33%; text-align: center; height: 300.969px;\"\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/e3.png?v=1770794030\"\u003e\u003c\/p\u003e\n\u003ch3\u003eSmooth Operation\u003c\/h3\u003e\n\u003cp\u003eFeatures spring-assisted chassis, high-performance servos for precise motion, and an optimized primary manipulator for intuitive teleoperation.\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSafe Human-Robot Collaboration\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"Human-Robot Collaboration\" src=\"https:\/\/www.dobot-robots.com\/media\/upload\/2024\/x-trainer\/safe.png\" class=\"img\"\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; border: 1px solid #000;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003c!-- Column 1 --\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 24px; vertical-align: top; width: 33%; text-align: center;\"\u003e\n\u003ch3 style=\"margin: 0 0 10px 0;\"\u003eBrilliant Safety Designs\u003c\/h3\u003e\n\u003cdiv style=\"height: 1px; background: #000; margin-bottom: 15px;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp style=\"margin: 0; line-height: 1.6;\"\u003eIncludes auto de-sync of master-slave arms on power loss\/alarms, master hand drop detection, and low-speed master-slave sync to prevent collisions.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c!-- Column 2 --\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 24px; vertical-align: top; width: 33%; text-align: center;\"\u003e\n\u003ch3 style=\"margin: 0 0 10px 0;\"\u003eCollision Detection\u003c\/h3\u003e\n\u003cdiv style=\"height: 1px; background: #000; margin-bottom: 15px;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp style=\"margin: 0; line-height: 1.6;\"\u003eThe DOBOT X-Trainer's Nova2 cobot has 5-level collision detection and ISO15066 certification for safe human-robot interaction.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c!-- Column 3 --\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 24px; vertical-align: top; width: 33%; text-align: center;\"\u003e\n\u003ch3 style=\"margin: 0 0 10px 0;\"\u003eAll-Around Protection\u003c\/h3\u003e\n\u003cdiv style=\"height: 1px; background: #000; margin-bottom: 15px;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp style=\"margin: 0; line-height: 1.6;\"\u003eThe workspace is padded with flexible EVA foam, effectively cushioning against accidental drops of the end-effector and minimizing damage risk to the gripper and arm.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eKey Features\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse;\"\u003e\n\u003c!-- Header --\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; width: 33.2727%; text-align: center;\"\u003e\u003cstrong\u003eCategory\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; width: 66.7273%; text-align: center;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c!-- Direct Imitation Learning Networks --\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 33.2727%;\"\u003e\u003cstrong\u003eDirect Imitation Learning Networks\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eFast Learning:\u003c\/strong\u003e Training time reduced by 70%. Routine scenario training (e.g., washing dishes or folding clothes) can be completed in just 2 hours.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eInterference Resistance:\u003c\/strong\u003e During autonomous tasks, DOBOT X-Trainer quickly corrects real-time disturbances (e.g., recognizing and removing stains during dishwashing), demonstrating advanced AI adaptability.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eLow Latency Operation:\u003c\/strong\u003e 25Hz end-to-end high-performance motion interface improves response speed by 150% compared to similar products, ensuring smoother and more stable operation.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- High Precision Slave Hands --\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 33.2727%;\"\u003e\u003cstrong\u003eHigh Precision Slave Hands\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eIndustrial Grade Precision:\u003c\/strong\u003e Achieves ±0.05mm repeat positioning accuracy for precise experimental operations and sensitive data collection.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eLarge Scale Motion:\u003c\/strong\u003e 625mm range per arm, expandable to 1200mm in dual-arm mode, with 6-axis flexibility for wide workspace coverage.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eHigh Load Capacity and Speed:\u003c\/strong\u003e Supports 2kg single-arm and 3kg dual-arm load capacity, with a top speed of 1.6m\/s for efficient data collection.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- Secondary Development --\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 33.2727%;\"\u003e\u003cstrong\u003eSecondary Development\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eComplete Data Collection: \u003c\/strong\u003eIncludes a full SDK covering data collection, model training, and autonomous inference workflow, with detailed documentation to guide users through the entire pipeline.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; text-align: center; width: 66.7273%;\"\u003e\n\u003cstrong\u003eOpen API Interfaces:\u003c\/strong\u003e Access master\/slave joint angles, gripper control, camera RGB\/depth data, and export specialized data formats for integration with custom AI models and domain-specific neural networks.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 803.345px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; width: 32.9153%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eComponent\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; width: 27.1921%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eParameter\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; width: 39.8927%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c!-- MASTER HAND --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 215.532px; width: 32.9153%;\" rowspan=\"10\"\u003e\u003cstrong\u003eMaster Hand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e1 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDOF\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eMax Working Radius\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e437 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eMotor\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eHigh-performance servo motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eButtons\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eUnlock button, record button\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eBase Dimensions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e149 × 130 × 58 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003ePower Input\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e100V~240V AC, 50\/60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eRated Voltage\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eDC 12V 2A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eCommunication Interface\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eUSB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003eOperating Environment\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eTemperature: 0°C–40°C; Humidity: 25%–85% (non-condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- BASE --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 215.532px; width: 32.9153%;\" rowspan=\"9\"\u003e\u003cstrong\u003eBase\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e85 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDimensions (Folded)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e1630 × 1060 × 380 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDimensions (Unfolded)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e1530 × 960 × 1300 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003ePower Input\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e100V~240V AC, 50\/60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eRated Power\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e150W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eDC 24V ×6, max 4A per port, total output 4A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eCommunication Interface\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eEthernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eCommunication Protocol\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eTCP\/IP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003eIndicators \u0026amp; Safety\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eTricolor indicator ×1, Emergency stop switches ×2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- NOVA 2 SLAVE-HAND GRIPPER --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 117.563px; width: 32.9153%;\" rowspan=\"5\"\u003e\u003cstrong\u003eNova 2 Slave-Hand Gripper\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e0.6 kg (including camera \u0026amp; bracket)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eMax Opening Distance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e95 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eClamping Force\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e0–15N\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDimensions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e160 × 202 × 75 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003eOperating Environment\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eTemperature: 0°C–40°C; Humidity: 25%–85% (non-condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- DOBOT NOVA 2 --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; height: 137.156px; text-align: center; width: 32.9153%;\" rowspan=\"6\"\u003e\u003cstrong\u003eDOBOT Nova 2 (Not Included)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e11 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDOF\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003ePayload\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eRepeatability\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e0.05 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eMax Working Radius\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e625 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 27.1921%;\"\u003eOperating Environment\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 39.1875px; width: 39.8927%;\"\u003eTemperature: 0°C–40°C; Humidity: 25%–85% (non-condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- CAMERA --\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; height: 97.969px; text-align: center; width: 32.9153%;\" rowspan=\"5\"\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eModel\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eDepth-sensing camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDimensions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e36.5 × 19.4 × 10.5 mm (module)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDepth FOV\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003e87° × 58°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eDepth Output Resolution\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eUp to 1280 × 720\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 27.1921%;\"\u003eCommunication Interface\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; height: 19.5938px; width: 39.8927%;\"\u003eUSB 2.0 \/ USB 3.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eResources\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 88.3752px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003eDobot X-Trainer (Lightweight Base) User Guide\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Dobot_X-Trainer_Lightweight_Base_User_Guide_V1.1_20240731_en.pdf?v=1770795892\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003eDobot X-Trainer Operation Guide and FAQ\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Dobot_X-Trainer_Operation_Guide_and_FAQ.pdf?v=1770795890\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003eDobot X-Trainer With UI Control Interface Version User Manual\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/dobot_xtrainer-with_UI_control_interface_version_user_manual_240819.pdf?v=1770795890\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003eDobot CRStudio User Guide (CR\u0026amp;Nova) \u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Dobot_CRStudio_User_Guide_CR_Nova_V4.13.0_V2.14.0_20240105_en.pdf?v=1770795892\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 10px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 10px; text-align: center;\"\u003eDobotStudio Pro 2.8 User Guide (CR\u0026amp;Nova)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 12px; height: 10px; text-align: center;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/DobotStudio_Pro_User_Guide_CR_Nova_V2.8.0_20240206_en.pdf?v=1770795891\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackaging List for DOBOT X-Trainer\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eExcluding 2 Robot Arms and Nova 2\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; min-width: 300px;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eMaster Hand - Teleoperated Master Hand\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e2x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003e6 high DOF \u0026amp; Precision Master Hands with Grippers, including unlocking and record buttons\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eGripper - Slave-Hand Gripper\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e2x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003eMax opening \u0026amp; closing distance is 95 mm; Packed and shipped together with the Master Hands\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eCamera - End of Master Hands \u0026amp; Camera\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e3x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003eDepth-sensing camera; Packed and shipped together with the Master Hands\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eBase - Fixed Base\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e1x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003eFixed base for robotic arm; With Camera Bracket\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- Merged Optional Row --\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 100%;\"\u003e\u003cstrong\u003eOptional\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 33.0923%;\"\u003eComputer - Training Platform\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 6.62152%;\"\u003e1x\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; padding: 10px; width: 60.2862%;\"\u003eRecommended Specifications: RTX4090-24G GPU, Intel i9-14900KF, 32GB, 2TB\u003cbr\u003e* Training time is affected by specific scenarios, usage models and hardware configurations. Refer to the specific situation for assistance.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eProduct Demonstration\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"360\" width=\"640\" src=\"https:\/\/player.vimeo.com\/video\/958226076?h=e72156053a\" title=\"vimeo-player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe title=\"🧠 What happens when AI Training meets Robotics?\" src=\"https:\/\/www.youtube.com\/embed\/Ia_s1sSc9Y8\" height=\"389\" width=\"692\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e"}

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Category	Details
Direct Imitation Learning Networks	Fast Learning: Training time reduced by 70%. Routine scenario training (e.g., washing dishes or folding clothes) can be completed in just 2 hours.
	Interference Resistance: During autonomous tasks, DOBOT X-Trainer quickly corrects real-time disturbances (e.g., recognizing and removing stains during dishwashing), demonstrating advanced AI adaptability.
	Low Latency Operation: 25Hz end-to-end high-performance motion interface improves response speed by 150% compared to similar products, ensuring smoother and more stable operation.
High Precision Slave Hands	Industrial Grade Precision: Achieves ±0.05mm repeat positioning accuracy for precise experimental operations and sensitive data collection.
	Large Scale Motion: 625mm range per arm, expandable to 1200mm in dual-arm mode, with 6-axis flexibility for wide workspace coverage.
	High Load Capacity and Speed: Supports 2kg single-arm and 3kg dual-arm load capacity, with a top speed of 1.6m/s for efficient data collection.
Secondary Development	Complete Data Collection: Includes a full SDK covering data collection, model training, and autonomous inference workflow, with detailed documentation to guide users through the entire pipeline.
Secondary Development	Open API Interfaces: Access master/slave joint angles, gripper control, camera RGB/depth data, and export specialized data formats for integration with custom AI models and domain-specific neural networks.

DOBOT X-Trainer AI Robot Operating Platform

DOBOT X-Trainer

AI Data Collection and Training Robot System

Unlimited Versatility in Various Applications

Lightweight Base for Quick Deployment

Artificial General Intelligence Scene Simulation & Research

AI Large-Scale Model Data Collection & Training

Effortless & Smooth Motion Control

Ultra Lightweight Design

Easy-to-Use Buttons

Smooth Operation

Safe Human-Robot Collaboration

Brilliant Safety Designs

Collision Detection

All-Around Protection

Key Features

Specifications

Resources

Packaging List for DOBOT X-Trainer

Product Demonstration

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Component	Parameter	Specification
Master Hand	Weight	1 kg
	DOF	6
	Max Working Radius	437 mm
	Motor	High-performance servo motor
	Buttons	Unlock button, record button
	Base Dimensions	149 × 130 × 58 mm
	Power Input	100V~240V AC, 50/60 Hz
	Rated Voltage	DC 12V 2A
	Communication Interface	USB
	Operating Environment	Temperature: 0°C–40°C; Humidity: 25%–85% (non-condensing)
Base	Weight	85 kg
	Dimensions (Folded)	1630 × 1060 × 380 mm
	Dimensions (Unfolded)	1530 × 960 × 1300 mm
	Power Input	100V~240V AC, 50/60 Hz
	Rated Power	150W
	Power Supply	DC 24V ×6, max 4A per port, total output 4A
	Communication Interface	Ethernet
	Communication Protocol	TCP/IP
	Indicators & Safety	Tricolor indicator ×1, Emergency stop switches ×2
Nova 2 Slave-Hand Gripper	Weight	0.6 kg (including camera & bracket)
	Max Opening Distance	95 mm
	Clamping Force	0–15N
	Dimensions	160 × 202 × 75 mm
	Operating Environment	Temperature: 0°C–40°C; Humidity: 25%–85% (non-condensing)
DOBOT Nova 2 (Not Included)	Weight	11 kg
	DOF	6
	Payload	2 kg
	Repeatability	0.05 mm
	Max Working Radius	625 mm
	Operating Environment	Temperature: 0°C–40°C; Humidity: 25%–85% (non-condensing)
Camera	Model	Depth-sensing camera
	Dimensions	36.5 × 19.4 × 10.5 mm (module)
	Depth FOV	87° × 58°
	Depth Output Resolution	Up to 1280 × 720
	Communication Interface	USB 2.0 / USB 3.1

Dobot X-Trainer (Lightweight Base) User Guide	Download
Dobot X-Trainer Operation Guide and FAQ	Download
Dobot X-Trainer With UI Control Interface Version User Manual	Download
Dobot CRStudio User Guide (CR&Nova)	Download
DobotStudio Pro 2.8 User Guide (CR&Nova)	Download

Master Hand - Teleoperated Master Hand	2x	6 high DOF & Precision Master Hands with Grippers, including unlocking and record buttons
Gripper - Slave-Hand Gripper	2x	Max opening & closing distance is 95 mm; Packed and shipped together with the Master Hands
Camera - End of Master Hands & Camera	3x	Depth-sensing camera; Packed and shipped together with the Master Hands
Base - Fixed Base	1x	Fixed base for robotic arm; With Camera Bracket
Optional
Computer - Training Platform	1x	Recommended Specifications: RTX4090-24G GPU, Intel i9-14900KF, 32GB, 2TB * Training time is affected by specific scenarios, usage models and hardware configurations. Refer to the specific situation for assistance.