j-mex Digital Twin & Teleoperation Engine
Winning Reason
Powered by a self-developed 9-axis IMU fusion technology, this collaborative engine transforms human motion capture into parameterized joint mapping. It provides a seamless solution for remote robot teleoperation, control simulation, VLA (Vision-Language-Action) training, and digital twin synchronization. Fully compatible with ROS2, NVIDIA Isaac ROS , NVIDIA Jetson, Omniverse, and Isaac Sim, the system operates independently of visual obstructions or lighting conditions. Designed for smart manufacturing, human-robot collaboration, and hazardous environment operations, this engine significantly reduces the time and cost required for robotic pre-training.
Product Feature
As a robust Digital Twin and Teleoperation Engine, the j-mex solution delivers unparalleled synchronization and industrial-grade precision. Powered by proprietary AI attitude fusion algorithms, the system maintains exceptional stability during wide-range dynamic movements, effectively eliminating cumulative errors inherent in standard sensors. Its specialized low-latency architecture ensures millisecond-level responsiveness—the critical foundation for seamless Human-Robot Collaboration (HRC) and high-precision teleoperation.
Furthermore, this engine is deeply integrated with leading ecosystems like NVIDIA Isaac Sim. Through optimized APIs, developers can instantaneously bridge physical dynamics into virtual factory environments.