{"title":"LimX Dynamics","description":null,"products":[{"product_id":"limx-dynamics-oli-edu","title":"LimX Dynamics Oli EDU - humanoid robot, 165 cm, 31 degrees of freedom","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; box-sizing: border-box;\"\u003e \u003ch2 style=\"margin: 0 0 14px 0; font-size: 26px; line-height: 1.3; color: #333333;\"\u003eLimX Dynamics Oli EDU - Humanoid robot for research, education, and Embodied AI\u003c\/h2\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eThe \u003cstrong\u003eLimX Dynamics Oli EDU\u003c\/strong\u003e is a fully featured humanoid robot for education, research, and Embodied AI. At approximately 165 cm tall, with 31 degrees of freedom and an open software architecture, it provides a powerful platform for reinforcement learning, robotics development, and advanced AI experiments.\u003c\/p\u003e \u003cp style=\"margin: 0;\"\u003eTwo Intel RealSense D435i depth cameras, a self-developed 6-axis IMU, and numerous interfaces support the system's perception and expandability. With high-level and low-level APIs, Python support, and a modular SDK, the Oli EDU can be integrated into various research and development environments.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eHighlights\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e31 degrees of freedom for full-body movements and manipulation\u003c\/li\u003e \u003cli\u003eApprox. 165 cm tall and up to 55 kg including battery\u003c\/li\u003e \u003cli\u003e2 x Intel RealSense D435i for depth perception\u003c\/li\u003e \u003cli\u003eProprietary 6-axis IMU\u003c\/li\u003e \u003cli\u003eFull Python support\u003c\/li\u003e \u003cli\u003eHigh-level and low-level APIs via modular SDK\u003c\/li\u003e \u003cli\u003eURDF model for Sim2Real workflows\u003c\/li\u003e \u003cli\u003eSupport for NVIDIA Isaac Sim, MuJoCo, and Gazebo\u003c\/li\u003e \u003cli\u003eGigabit Ethernet, multiple USB-3.x ports, and various I\/O pins\u003c\/li\u003e \u003cli\u003e12V and 24V power outputs for external peripherals\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eOpen software architecture and Sim2Real\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eThe Oli EDU is designed for developing Embodied Intelligence and complex robotics applications. The modular SDK provides high-level and low-level APIs. Python is fully supported.\u003c\/p\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eA precise URDF model supports Sim2Real workflows. Algorithms can be trained in simulation environments and then transferred to the physical robot.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eNVIDIA Isaac Sim\u003c\/li\u003e \u003cli\u003eMuJoCo\u003c\/li\u003e \u003cli\u003eGazebo\u003c\/li\u003e \u003cli\u003eOTA support for software updates\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eExpandability and interfaces\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eFor research setups and additional sensors, the Oli EDU provides various data and power interfaces. External devices such as additional sensors or LiDAR systems can be connected via USB, Ethernet, I\/O pins, and the provided 12V and 24V outputs.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eEthernet at 1,000 Mbps\u003c\/li\u003e \u003cli\u003eMultiple USB 3.x ports\u003c\/li\u003e \u003cli\u003eVarious I\/O pins\u003c\/li\u003e \u003cli\u003e24V \/ 5A output for peripherals\u003c\/li\u003e \u003cli\u003e12V \/ 5A output for peripherals\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eTypical applications\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eResearch into embodied AI\u003c\/li\u003e \u003cli\u003eReinforcement learning\u003c\/li\u003e \u003cli\u003eUniversity education and robotics training\u003c\/li\u003e \u003cli\u003eSim2Real research\u003c\/li\u003e \u003cli\u003eDevelopment of humanoid motion and control algorithms\u003c\/li\u003e \u003cli\u003eIntegration of additional sensors and peripherals\u003c\/li\u003e \u003cli\u003eAI and robotics experiments with high-level and low-level access\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 14px 0; font-size: 21px; color: #333333;\"\u003eTechnical data\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;\"\u003eBasic data\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eHeight\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eapprox. 165 cm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eBasic data\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eWeight\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e≤ 55 kg including battery\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;\"\u003eTotal degrees of freedom\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e31 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;\"\u003eArms\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e7 DoF per arm\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;\"\u003eLegs\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e6 DoF per leg\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;\"\u003eHip\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e3 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;\"\u003eHead\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e2 DoF\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePerformance\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMaximum speed\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eapprox. 5 km\/h\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePerformance\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePayload per arm\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eapprox. 3 kg\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;\"\u003eDepth cameras\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e2 x Intel RealSense D435i, head and chest\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;\"\u003eIMU\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eProprietary 6-axis IMU\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eConnectivity\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eEthernet\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e1,000 Mbps\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eConnectivity\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUSB\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMultiple USB 3.x ports\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eConnectivity\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eAdditional interfaces\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eVarious I\/O pins\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePeripherals\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e24V output\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e24V \/ 5A\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePeripherals\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e12V output\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e12V \/ 5A\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;\"\u003eProgramming language\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePython support\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;\"\u003eAPIs\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eHigh-level and low-level APIs via modular 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;\"\u003eRobot model\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eURDF model for Sim2Real workflows\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 platforms\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eNVIDIA Isaac Sim, MuJoCo, Gazebo\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;\"\u003eUpdates\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eOTA support\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; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eScope of delivery\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eHumanoid robot LimX Dynamics Oli EDU, preassembled\u003c\/li\u003e \u003cli\u003eComprehensive documentation with user manuals and developer documentation\u003c\/li\u003e \u003cli\u003eAccess to the SDK and motion libraries\u003c\/li\u003e \u003cli\u003ePractical examples for a quick start\u003c\/li\u003e \u003cli\u003eSupport for simulation platforms such as NVIDIA Isaac Sim, MuJoCo, and Gazebo\u003c\/li\u003e \u003cli\u003ePower supply and necessary accessories for operation\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e","brand":"LimX Dynamics","offers":[{"title":"Default Title","offer_id":66042945569117,"sku":"F27211459","price":84999.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/limx-dynamics-oli-edu-funduino-4530047.png?v=1791482693"},{"product_id":"limx-dynamics-tron2-three-in-one","title":"LimX Dynamics TRON2 Three-in-one - modular robotic platform, 3-in-1","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; box-sizing: border-box;\"\u003e \u003ch2 style=\"margin: 0 0 14px 0; font-size: 26px; line-height: 1.3; color: #333333;\"\u003eLimX Dynamics TRON2 Three-in-one - Modular 3-in-1 Platform for Robotics Research\u003c\/h2\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eThe \u003cstrong\u003eLimX Dynamics TRON2 Three-in-one\u003c\/strong\u003e is a modular robotics platform for research, embodied AI, and vision-language-action applications. The EDU Three-in-one package combines three interchangeable configurations in one system: \u003cstrong\u003eSole\u003c\/strong\u003e with classic feet, \u003cstrong\u003eWheeled Legs\u003c\/strong\u003e with wheel-driven legs, and \u003cstrong\u003eDual Arms\u003c\/strong\u003e for complex manipulation tasks.\u003c\/p\u003e \u003cp style=\"margin: 0;\"\u003eWith its open software architecture featuring ROS1, ROS2, Python, and high-level and low-level access, TRON2 is suitable for demanding research projects, Sim2Real workflows, and the development of custom locomotion, perception, and manipulation algorithms.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003e3-in-1 platform\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e\n\u003cstrong\u003eSole:\u003c\/strong\u003e Classic feet for walking-based locomotion\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eWheeled Legs:\u003c\/strong\u003e Wheel-driven legs for fast mobile movement\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eDual Arms:\u003c\/strong\u003e Dual-arm system for manipulation and VLA applications\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eHighlights\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eThree modular, interchangeable configurations in one EDU package\u003c\/li\u003e \u003cli\u003e7 DoF per arm and 5 DoF per leg\u003c\/li\u003e \u003cli\u003eActive vision head with 2 DoF\u003c\/li\u003e \u003cli\u003eSpeeds of up to 5 m\/s in the Wheeled configuration\u003c\/li\u003e \u003cli\u003eClimbing capability of up to 30°\u003c\/li\u003e \u003cli\u003eDual Arms with a 70 cm span and a total payload of 10 kg\u003c\/li\u003e \u003cli\u003eRGBD cameras on the waist, head, and wrists in the Dual Arms configuration\u003c\/li\u003e \u003cli\u003eIntel Core i7-1165G7 computing unit\u003c\/li\u003e \u003cli\u003eOpen SDK with ROS1, ROS2, and Python\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; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eMobility and manipulation\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eThe modular design enables switching between different research tasks. According to the product specifications, TRON2 reaches speeds of up to 5 m\/s with Wheeled Legs and handles inclines of up to 30°. Two arm modules with 7 degrees of freedom each are available for manipulation tasks.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e5 DoF per leg\u003c\/li\u003e \u003cli\u003e7 DoF per arm\u003c\/li\u003e \u003cli\u003e2 DoF in the active vision head\u003c\/li\u003e \u003cli\u003eDual-arm span: 70 cm\u003c\/li\u003e \u003cli\u003ePayload: 5 kg per arm, 10 kg total\u003c\/li\u003e \u003cli\u003eRepeatability: ±0.5 mm\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eSensing and computing power\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eFor perception and AI computations, TRON2 combines an Intel Core i7-1165G7 computing unit with multimodal sensors. Depending on the configuration, RGBD cameras are located at the waist, head, and wrists. An IMU complements motion tracking.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eIntel Core i7-1165G7, up to 2.80 GHz\u003c\/li\u003e \u003cli\u003eRGBD camera on the head\u003c\/li\u003e \u003cli\u003eRGBD camera at the waist\u003c\/li\u003e \u003cli\u003eRGBD cameras on the wrists with Dual Arms\u003c\/li\u003e \u003cli\u003eIMU for motion tracking\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eOpen software architecture\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eTRON2 is designed for research and development projects with direct system access. The open SDK enables both high-level and low-level control and supports the integration of existing robotics and AI workflows.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eROS1 support\u003c\/li\u003e \u003cli\u003eROS2 support\u003c\/li\u003e \u003cli\u003ePython support\u003c\/li\u003e \u003cli\u003eHigh-level control\u003c\/li\u003e \u003cli\u003eLow-level control\u003c\/li\u003e \u003cli\u003eOptimized URDF models for simulation and Sim2Real\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eTypical applications\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eEmbodied AI research\u003c\/li\u003e \u003cli\u003eVision-language-action research\u003c\/li\u003e \u003cli\u003eRobotic manipulation\u003c\/li\u003e \u003cli\u003eMobile robotics and all-terrain locomotion\u003c\/li\u003e \u003cli\u003eSim2Real research\u003c\/li\u003e \u003cli\u003eDevelopment of custom motion and control algorithms\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; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 14px 0; font-size: 21px; color: #333333;\"\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;\"\u003eSystem\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eProduct\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eLimX Dynamics TRON2 Three-in-one\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSystem\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eConfigurations\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSole, Wheeled Legs, Dual Arms\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;\"\u003eDegrees of freedom per leg\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e5 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;\"\u003eVision head\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e2 DoF, active\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMobility\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMaximum speed\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUp to 5 m\/s in Wheeled configuration\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMobility\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eClimbing ability\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUp to 30°\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;\"\u003eDual-arm reach\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e70 cm\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;\"\u003ePayload per arm\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e5 kg\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;\"\u003eTotal payload, Dual Arms\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e10 kg\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePrecision\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eRepeatability\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e±0.5 mm\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;\"\u003eWaist, head, and wrists with Dual Arms\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;\"\u003eIMU\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eIntegrated\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eComputing performance\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;\"\u003eIntel Core i7-1165G7\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eComputing performance\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eClock speed\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUp to 2.80 GHz\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePower\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, 9 Ah\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePower\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 with high-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;\"\u003eFrameworks\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eROS1, ROS2, Python\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;\"\u003eURDF 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; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\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 arm modules (Dual Arms)\u003c\/li\u003e \u003cli\u003e1 x set of wheeled legs (Wheeled Legs)\u003c\/li\u003e \u003cli\u003e1 x set of standard feet (Sole)\u003c\/li\u003e \u003cli\u003eHigh-performance battery including fast charger\u003c\/li\u003e \u003cli\u003eComprehensive sensor kit with head, waist, and wrist cameras\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e","brand":"LimX Dynamics","offers":[{"title":"Default Title","offer_id":66042945798493,"sku":"F27211460","price":38999.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/limx-dynamics-tron2-three-in-one-funduino-3769715.png?v=1791482698"},{"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"},{"product_id":"limx-dynamics-tron2-two-in-one","title":"LimX Dynamics TRON2 two-in-one - research robot, Sole and Wheeled Legs","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; box-sizing: border-box;\"\u003e \u003ch2 style=\"margin: 0 0 14px 0; font-size: 26px; line-height: 1.3; color: #333333;\"\u003eLimX Dynamics TRON2 two-in-one - Modular platform for mobile robotics research\u003c\/h2\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eThe \u003cstrong\u003eLimX Dynamics TRON2 two-in-one\u003c\/strong\u003e is a modular research platform for developing advanced locomotion and navigation algorithms. The system combines two specialized movement modes in one platform: \u003cstrong\u003eSole\u003c\/strong\u003e for legged mobility and stair climbing, and \u003cstrong\u003eWheeled Legs\u003c\/strong\u003e for fast and efficient wheel-assisted mobility.\u003c\/p\u003e \u003cp style=\"margin: 0;\"\u003eWith speeds of up to 5 m\/s in the Wheeled configuration, a payload of up to 30 kg on level ground, a 30° climbing ability, and an open Sim2Real environment, TRON2 two-in-one is suitable for research into mobile robotics, perception, navigation, and embodied AI.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003e2-in-1 platform\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e\n\u003cstrong\u003eSole:\u003c\/strong\u003e standard feet for precise walking and stair climbing\u003c\/li\u003e \u003cli\u003e\n\u003cstrong\u003eWheeled Legs:\u003c\/strong\u003e wheel-driven legs for fast mobile movement\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eHighlights\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eTwo modular, interchangeable mobility configurations\u003c\/li\u003e \u003cli\u003e5 degrees of freedom per leg\u003c\/li\u003e \u003cli\u003eActive head with 2 DoF\u003c\/li\u003e \u003cli\u003eUp to 5 m\/s in the Wheeled configuration\u003c\/li\u003e \u003cli\u003eUp to 30 kg payload on level ground\u003c\/li\u003e \u003cli\u003eClimbing ability up to 30°\u003c\/li\u003e \u003cli\u003eRGBD cameras on the head and waist\u003c\/li\u003e \u003cli\u003e11th-generation Intel Core i7-1165G7\u003c\/li\u003e \u003cli\u003e46.8 V battery with 9 Ah\u003c\/li\u003e \u003cli\u003eFast charging from 20% to 80% in 30 minutes\u003c\/li\u003e \u003cli\u003eOpen SDK for research and development projects\u003c\/li\u003e \u003cli\u003eSupport for Gazebo, MuJoCo, and NVIDIA Isaac Sim\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eMobility and all-terrain capability\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eBy switching between Sole and Wheeled Legs, TRON2 two-in-one can cover different research tasks. The Sole configuration is designed for legged mobility and stair climbing. The Wheeled configuration combines leg mechanics with wheel-assisted mobility for higher speeds.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eMaximum speed: up to 5 m\/s in the Wheeled configuration\u003c\/li\u003e \u003cli\u003ePayload: up to 30 kg on level ground\u003c\/li\u003e \u003cli\u003eClimbing ability: up to 30°\u003c\/li\u003e \u003cli\u003e5 DoF per leg\u003c\/li\u003e \u003cli\u003e2 DoF in the active head\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eSensors and computing performance\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eRGBD cameras on the head and waist support real-time perception and obstacle detection. An 11th Gen Intel Core i7-1165G7 processor is available for processing directly on the robot.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eRGBD camera on the head\u003c\/li\u003e \u003cli\u003eRGBD camera at the waist\u003c\/li\u003e \u003cli\u003eIntel Core i7-1165G7\u003c\/li\u003e \u003cli\u003eOnboard computing power for perception, navigation and inference\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eOpen software architecture and Sim2Real\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eThe open SDK supports the workflow from data collection and simulation through transfer to real hardware. This makes TRON2 two-in-one suitable for developing and testing your own navigation, locomotion and AI algorithms.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eFully open SDK\u003c\/li\u003e \u003cli\u003eSupport for Gazebo\u003c\/li\u003e \u003cli\u003eSupport for MuJoCo\u003c\/li\u003e \u003cli\u003eSupport for NVIDIA Isaac Sim\u003c\/li\u003e \u003cli\u003eSim2Real workflows from training to hardware inference\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eTypical applications\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eMobile robotics research\u003c\/li\u003e \u003cli\u003eLocomotion and navigation algorithms\u003c\/li\u003e \u003cli\u003eStair climbing and walking-based mobility\u003c\/li\u003e \u003cli\u003eHigh-speed wheeled mobility\u003c\/li\u003e \u003cli\u003eEmbodied AI\u003c\/li\u003e \u003cli\u003eSim2Real development\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; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 14px 0; font-size: 21px; color: #333333;\"\u003eTechnical data\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;\"\u003eSystem\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eProduct\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eLimX Dynamics TRON2 two-in-one\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSystem\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eConfigurations\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSole, Wheeled Legs\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 leg\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e5 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;\"\u003eActive head\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e2 DoF\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMobility\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMaximum speed\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUp to 5 m\/s in the Wheeled configuration\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMobility\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePayload\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUp to 30 kg on level ground\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMobility\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eClimbing ability\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUp to 30°\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 and waist\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eComputing performance\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, 9 Ah\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;\"\u003eFully open 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;\"\u003eSimulation\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eGazebo, MuJoCo, NVIDIA Isaac Sim\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;\"\u003eWorkflow\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eData collection, training, Sim2Real and inference\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; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eScope of delivery\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e1 x TRON2 Core system\u003c\/li\u003e \u003cli\u003e1 x set of wheeled legs (Wheeled Legs)\u003c\/li\u003e \u003cli\u003e1 x set of standard feet (Sole)\u003c\/li\u003e \u003cli\u003eIntegrated sensors with head and waist cameras\u003c\/li\u003e \u003cli\u003eHigh-performance battery including fast charger\u003c\/li\u003e \u003cli\u003eAccess to SDK and technical documentation\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e","brand":"LimX Dynamics","offers":[{"title":"Default Title","offer_id":66042947535197,"sku":"F27211462","price":24999.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/limx-dynamics-tron2-two-in-one-funduino-3766501.png?v=1791482717"},{"product_id":"limx-dynamics-luna","title":"LimX Dynamics Luna - humanoid robot, 160 cm, 27 degrees of freedom","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; box-sizing: border-box;\"\u003e \u003ch2 style=\"margin: 0 0 14px 0; font-size: 26px; line-height: 1.3; color: #333333;\"\u003eLimX Dynamics Luna - Interactive full-size humanoid robot for events, shows, and brand activations\u003c\/h2\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eThe \u003cstrong\u003eLimX Dynamics Luna\u003c\/strong\u003e is a bipedal, interactive, full-size humanoid robot for commercial shows, events, trade fairs, and high-impact brand activations. With a height of 160 cm, 27 active degrees of freedom, and \u003cstrong\u003eLimX Sys 0\u003c\/strong\u003e motion control, Luna combines dynamic movements with speech, visual interaction, and lighting effects.\u003c\/p\u003e \u003cp style=\"margin: 0;\"\u003eAn interactive face, integrated microphone, speaker, and LED light strip support direct communication with the audience. Features such as manual kinesthetic teaching, Video to Motion, an AI task editor, and central group control of more than 200 robots enable choreographed solo and group performances.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eHighlights\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e27 active degrees of freedom for humanoid movements\u003c\/li\u003e \u003cli\u003eMaximum walking speed of up to 5 km\/h\u003c\/li\u003e \u003cli\u003ePayload of up to 3 kg per arm\u003c\/li\u003e \u003cli\u003eMaximum motor torque of 200 Nm\u003c\/li\u003e \u003cli\u003eLimX Sys 0 motion control based on RK3588\u003c\/li\u003e \u003cli\u003eInteractive face with display\u003c\/li\u003e \u003cli\u003eRGB camera and proprietary 6-axis IMU\u003c\/li\u003e \u003cli\u003eIntegrated microphone, speaker, and LED light strip\u003c\/li\u003e \u003cli\u003eWi-Fi 6 and Bluetooth\u003c\/li\u003e \u003cli\u003eUp to approximately 4 hours of operating time\u003c\/li\u003e \u003cli\u003eVideo to Motion, kinesthetic teaching, and AI task editor\u003c\/li\u003e \u003cli\u003eGroup control of more than 200 robots\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eInteraction, shows, and choreography\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eLuna is designed for visually and acoustically perceptible interaction. Movements, speech, display content, and LED lighting effects can be combined and coordinated for different performance scenarios.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eInteractive face for displaying visual content and reactions\u003c\/li\u003e \u003cli\u003eIntegrated microphone and speaker\u003c\/li\u003e \u003cli\u003eLED light strip for visual effects\u003c\/li\u003e \u003cli\u003eManual kinesthetic teaching\u003c\/li\u003e \u003cli\u003eVideo to Motion for transferring movements from videos\u003c\/li\u003e \u003cli\u003eAI task editor for movement, speech, display, and lighting\u003c\/li\u003e \u003cli\u003eCloud-based motion capture training platform\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eGroup control and software\u003c\/h3\u003e \u003cp style=\"margin: 0 0 12px 0;\"\u003eMovements and content can be managed via \u003cstrong\u003eLimX UP\u003c\/strong\u003e and \u003cstrong\u003eLimX Studio\u003c\/strong\u003e. OTA software updates are supported. Central synchronization of more than 200 robots is provided for larger productions.\u003c\/p\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eLimX UP\u003c\/li\u003e \u003cli\u003eLimX Studio\u003c\/li\u003e \u003cli\u003eOTA software updates\u003c\/li\u003e \u003cli\u003eCentral group control and synchronization of more than 200 robots\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eSafety features\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eReal-time fall detection with automatic movement stop when there is a risk of falling\u003c\/li\u003e \u003cli\u003eDetection of external forces with automatic shutdown stop\u003c\/li\u003e \u003cli\u003eHardware emergency stop for immediately interrupting ongoing movements\u003c\/li\u003e \u003cli\u003eRoHS-compliant\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eTypical applications\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003eLive shows and stage performances\u003c\/li\u003e \u003cli\u003eDance and group shows\u003c\/li\u003e \u003cli\u003eTrade fairs and exhibitions\u003c\/li\u003e \u003cli\u003eBrand activations and product presentations\u003c\/li\u003e \u003cli\u003eLeisure and theme parks\u003c\/li\u003e \u003cli\u003eShopping centers, museums, and tourist attractions\u003c\/li\u003e \u003cli\u003eInteractive visitor welcome\u003c\/li\u003e \u003cli\u003eSocial media productions and event marketing\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv style=\"background: #ffffff; padding: 22px; border-radius: 10px; margin-bottom: 18px; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 14px 0; font-size: 21px; color: #333333;\"\u003eTechnical data\u003c\/h3\u003e \u003cdiv style=\"overflow-x: auto;\"\u003e \u003ctable style=\"width: 100%; border-collapse: collapse; min-width: 700px;\"\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;\"\u003eBasic data\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eManufacturer\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eLIMX DYNAMICS\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eBasic data\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eType\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eBipedal, interactive, full-size humanoid robot\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eBasic data\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eColor\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSilver\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eDimensions\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eHeight\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e1600 mm \/ 160 cm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eDimensions\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eWidth\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e470 mm \/ 47 cm shoulder width\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eDimensions\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eArm length including hand\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e69 cm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eWeight\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eRobot including battery\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e56 kg\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eWeight\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePackage weight\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e70 kg\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;\"\u003eActive degrees of freedom\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e27 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;\"\u003eLegs\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e6 DoF per leg\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;\"\u003eArms\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e5 DoF per arm\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;\"\u003eWaist\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e3 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;\"\u003eNeck\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e2 DoF\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePerformance\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMaximum walking speed\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e5 km\/h\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePerformance\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMaximum load per arm\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUp to 3 kg\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePerformance\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMaximum motor torque\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e200 Nm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMotion control\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSystem\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eLimX Sys 0, 2nd generation\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMotion control\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eComputing unit\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eRK3588, 16 GB RAM, 256 GB storage\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eInteraction\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eComputing unit\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eDedicated RK3588, 8 GB RAM, 32 GB storage\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eInteraction\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eFace\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eInteractive display\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;\"\u003eCamera\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eRGB camera\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;\"\u003eIMU\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eProprietary 6-axis IMU\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eInteraction\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eModules\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMicrophone, speaker, LED light strip\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eConnectivity\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eWireless connections\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eWi-Fi 6, Bluetooth\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCooling\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMain control unit\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eActive air cooling\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 system\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eTwo removable rechargeable battery modules\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;\"\u003eCapacity\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e10,000 mAh\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;\"\u003eOperating time\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eUp to approx. 4 hours\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;\"\u003eCharging time\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eapprox. 1 hour\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePower supply\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eInput\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e110 to 220 V AC\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003ePower supply\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eOutput\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e58.8 V, 10 A\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;\"\u003ePlatforms\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eLimX UP, LimX Studio\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;\"\u003eUpdates\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eOTA software updates\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;\"\u003eChoreography\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eKinesthetic teaching, Video to Motion, AI task editor\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eGroup control\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSynchronization\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eOver 200 robots simultaneously\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCloud\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eMotion capture\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCloud-based training platform\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSafety\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eFall detection\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eReal-time monitoring with automatic movement stop\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSafety\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCollision protection\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eDetection of external forces with automatic stop\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eSafety\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eEmergency stop\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eHardware emergency stop\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eCompliance\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eEnvironmental compliance\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eRoHS-compliant\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eTrade data\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eEAN \/ GTIN\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e9900004396387\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eTrade data\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eHS code\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e84798997\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eWarranty\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003eManufacturer's warranty\u003c\/td\u003e \u003ctd style=\"padding: 10px 12px; border: 1px solid #dddddd;\"\u003e12 months\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; box-sizing: border-box;\"\u003e \u003ch3 style=\"margin: 0 0 12px 0; font-size: 21px; color: #333333;\"\u003eScope of delivery\u003c\/h3\u003e \u003cul style=\"margin: 0; padding-left: 22px;\"\u003e \u003cli\u003e1 x LimX Luna Full Size Interactive Humanoid Robot, Silver\u003c\/li\u003e \u003cli\u003e2 x removable battery modules\u003c\/li\u003e \u003cli\u003e1 x power supply \/ charger\u003c\/li\u003e \u003cli\u003e1 x handheld remote control\u003c\/li\u003e \u003cli\u003e1 x charging cable for the handheld remote control\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e","brand":"LimX Dynamics","offers":[{"title":"Default Title","offer_id":66042948354397,"sku":"F27211463","price":92900.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/limx-dynamics-luna-funduino-5019800.png?v=1791482712"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/collections\/limx-dynamics.png?v=1789647644","url":"https:\/\/funduino.com\/en\/collections\/limx-dynamics.oembed","provider":"Funduino","version":"1.0","type":"link"}