RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
Expands RoboMIND V2 to 107k real-world teleoperation trajectories across 479 tasks, 96 object classes, and four robot embodiments.
Evidence notes
- Includes multi-view RGB, proprioception, language annotations, failure cases, and an Isaac Sim digital twin for synthetic data and evaluation.
- Provides public project, data, Hugging Face, GitHub, and paper links for imitation-learning and VLA training benchmarks.
Company context
Beijing-based humanoid robotics innovation center developing the Tiangong humanoid platforms, embodied-intelligence systems and open developer infrastructure for humanoid manipulation, locomotion and industrial pilots.