MANUS and Lightwheel partner on Physical AI data infrastructure
MANUS and Lightwheel announced a strategic partnership linking MANUS hand-capture gloves with Lightwheel data infrastructure for an end-to-end Real2Sim2Real robot-learning pipeline.
Evidence notes
- MANUS contributes high-precision 25-DoF-per-hand capture for dexterous human demonstrations.
- Lightwheel turns the source signal into robot-learning-ready data through annotation, simulation and synthetic scaling.
- The companies frame the workflow around NVIDIA Isaac interoperability, including Isaac Teleop and Isaac Sim.
Company context
MANUS Meta supplies high-precision hand-tracking and haptic gloves for robotics, mocap, VR and research. Its robotics materials focus on teleoperation and humanoid training data, with Metagloves Pro and Metagloves Pro Haptic used for low-latency dexterous control.