{"product_id":"limx-dynamics-tron2-dual-arm","title":"LimX Dynamics TRON2 Dual Arm - research platform, 14 DoF","description":"\u003cdiv style=\"margin: 24px 0; padding: 22px; background: #f7f7f7; border: 1px solid #dddddd; border-radius: 10px; box-sizing: border-box; font-family: Arial, Helvetica, sans-serif; color: #333333; line-height: 1.6;\"\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px;\"\u003e \u003ch2 style=\"margin: 0 0 14px 0; font-size: 26px; color: #333333;\"\u003eLimX Dynamics TRON2 Dual Arm - Research platform for manipulation and teleoperation\u003c\/h2\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eThe \u003cstrong\u003eLimX Dynamics TRON2 Dual Arm\u003c\/strong\u003e is a specialized research platform for physical manipulation, teleoperation, and AI-assisted interaction. Two integrated robotic arms with a total of 14 degrees of freedom enable complex movements and are particularly suitable for research into vision-language-action, human demonstration, and robotic manipulation.\u003c\/p\u003e \u003cp style=\"margin: 0;\"\u003eRGBD cameras on the head, waist, and wrists support visual perception. The open SDK provides high-level and low-level access and supports Python, ROS2, and URDF-based Sim2Real workflows.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px;\"\u003eHighlights\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e14 degrees of freedom in total, 7 DoF per arm\u003c\/li\u003e \u003cli\u003eSpherical wrist design for complex movements in confined spaces\u003c\/li\u003e \u003cli\u003eTeleoperation latency of approx. 100 ms\u003c\/li\u003e \u003cli\u003eEnd-effector speed of up to 5 m\/s\u003c\/li\u003e \u003cli\u003eEnd-effector acceleration of up to 36 m\/s²\u003c\/li\u003e \u003cli\u003eRGBD cameras on the head, waist, and wrists\u003c\/li\u003e \u003cli\u003e11th Gen Intel Core i7-1165G7\u003c\/li\u003e \u003cli\u003eOpen SDK with high-level and low-level access\u003c\/li\u003e \u003cli\u003ePython and ROS2 compatibility\u003c\/li\u003e \u003cli\u003eURDF models for Sim2Real workflows\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px;\"\u003eDual-arm manipulation and teleoperation\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eEach arm has 7 degrees of freedom. The spherical wrist design supports flexible movements and maneuvers in spatially constrained environments. A specified teleoperation latency of approx. 100 ms enables direct control for demonstration data and research tasks.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e7 DoF per arm\u003c\/li\u003e \u003cli\u003e14 DoF in the dual-arm system\u003c\/li\u003e \u003cli\u003eTeleoperation latency: approx. 100 ms\u003c\/li\u003e \u003cli\u003eMaximum end-effector speed: 5 m\/s\u003c\/li\u003e \u003cli\u003eMaximum end-effector acceleration: 36 m\/s²\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px;\"\u003eOpen developer ecosystem\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eHigh-level control\u003c\/li\u003e \u003cli\u003eLow-level control\u003c\/li\u003e \u003cli\u003ePython support\u003c\/li\u003e \u003cli\u003eROS2 compatibility\u003c\/li\u003e \u003cli\u003eOptimized URDF models for Sim2Real workflows\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px;\"\u003eTypical applications\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eVision-language-action research\u003c\/li\u003e \u003cli\u003eRobotic manipulation\u003c\/li\u003e \u003cli\u003eTeleoperation and human demonstration data\u003c\/li\u003e \u003cli\u003eTraining AI models for physical interaction\u003c\/li\u003e \u003cli\u003eComputer vision and motion planning\u003c\/li\u003e \u003cli\u003eSim2Real research\u003c\/li\u003e \u003cli\u003eUniversity research and teaching\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px;\"\u003e \u003ch3 style=\"margin: 0 0 14px 0; font-size: 21px;\"\u003eTechnical specifications\u003c\/h3\u003e \u003cdiv style=\"overflow-x: auto;\"\u003e \u003ctable style=\"width: 100%; border-collapse: collapse; min-width: 680px;\"\u003e \u003cthead\u003e \u003ctr\u003e\n\u003cth style=\"padding: 11px 12px; background: #478a84; color: #ffffff; text-align: left; border: 1px solid #d5d5d5;\"\u003eCategory\u003c\/th\u003e\n\u003cth style=\"padding: 11px 12px; background: #478a84; color: #ffffff; text-align: left; border: 1px solid #d5d5d5;\"\u003eFeature\u003c\/th\u003e\n\u003cth style=\"padding: 11px 12px; background: #478a84; color: #ffffff; text-align: left; border: 1px solid #d5d5d5;\"\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e \u003c\/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eKinematics\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eTotal degrees of freedom\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e14 DoF\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eKinematics\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eDegrees of freedom per arm\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e7 DoF\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eKinematics\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eWrist\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSpherical design\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eManipulation\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMax. end-effector speed\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e5 m\/s\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eManipulation\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMax. end-effector acceleration\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e36 m\/s²\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eTeleoperation\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eLatency\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eapprox. 100 ms\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSensors\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eRGBD cameras\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eHead, waist, and wrists\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eComputing power\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eProcessor\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e11th Gen Intel Core i7-1165G7\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eEnergy\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eBattery\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e46.8 V lithium battery\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eEnergy\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eFast charging\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eFrom 20% to 80% in 30 minutes\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSoftware\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSDK\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eOpen SDK\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSoftware\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eControl\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eHigh-level and low-level access\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSoftware\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCompatibility\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePython, ROS2\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSoftware\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSimulation\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eOptimized URDF models for Sim2Real workflows\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px;\"\u003eScope of delivery\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e1 x TRON2 Core system\u003c\/li\u003e \u003cli\u003e2 x integrated arm modules with 7 DoF each\u003c\/li\u003e \u003cli\u003eComprehensive sensor kit including dedicated wrist-mounted RGBD cameras\u003c\/li\u003e \u003cli\u003eHigh-performance battery\u003c\/li\u003e \u003cli\u003eFast charger\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e","brand":"LimX Dynamics","offers":[{"title":"Default Title","offer_id":66042946781533,"sku":"F27211461","price":26999.01,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/limx-dynamics-tron2-dual-arm-funduino-6977588.png?v=1791482699","url":"https:\/\/funduino.com\/en\/products\/limx-dynamics-tron2-dual-arm","provider":"Funduino","version":"1.0","type":"link"}