4 papers · 1 filter
EgoCPT: Learning Dexterous Manipulation from a Single Ego-Centric Video with Contact-Aware Optimization
Zhixin Sun, Kairui Shi, Tianao Ren +3
While expert demonstrations on real robots are difficult to collect, human ego-centric videos are easy to collect and abundant on the internet. However, learning dexterous manipula…
HapticWorld: an Interactive World Simulator with Real-time Torque Feedback
Shaoting Peng, Litian Liang, Yixuan Wang +4
Contact-rich manipulation depends on force sensing that is hard to infer from visual signals alone, both for collecting demonstrations and for training policies. Force-annotated da…
Any2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Tracking
Ming Yang, Tao Yu, Feng Li +1
Whole-body tracking (WBT) models have become a key foundation for humanoid robots, enabling them to imitate diverse motions with high fidelity. Training such models from scratch re…
Universal Manipulation Exoskeleton: Learning Compliant Whole-body Policies with Real-time Torque Feedback
Litian Liang, Jingxi Xu, Xinda Qi +7
For robots to work safely in household environments, they need to be compliant and react to torque and force feedback during contact. However, the majority of existing data collect…