4 papers · 1 filter
Unified Motion-Action Modeling for Heterogeneous Robot Learning
Yunhao Cao, Shitong Liu, Chao Feng +4
We present Unified Motion-Action (UMA) Model, an approach that uses 3D object motion trajectories as a shared interface to bridge visuomotor control and dynamics modeling. UMA trea…
Generate, Transfer, Adapt: Learning Functional Dexterous Grasping from a Single Human Demonstration
Xingyi He, Adhitya Polavaram, Yunhao Cao +4
Functional grasping with dexterous robotic hands is a key capability for enabling tool use and complex manipulation, yet progress has been constrained by two persistent bottlenecks…
Correspondence-Oriented Imitation Learning: Flexible Visuomotor Control with 3D Conditioning
Yunhao Cao, Zubin Bhaumik, Jessie Jia +2
We introduce Correspondence-Oriented Imitation Learning (COIL), a conditional policy learning framework for visuomotor control with a flexible task representation in 3D. At the cor…
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
Laura Smith, Yunhao Cao, Sergey Levine
Deep reinforcement learning (RL) can enable robots to autonomously acquire complex behaviors, such as legged locomotion. However, RL in the real world is complicated by constraints…