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cs.RO2026
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…
cs.RO2026
One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies
Chuer Pan, Litian Liang, Dominik Bauer +4
Visuomotor policies for manipulation have demonstrated remarkable potential in modeling complex robotic behaviors, yet minor alterations in the robot's initial configuration and un…
cs.RO2026
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…