3 papers
cs.RO2026
VE2VF: Vision-Enabled to Vision-Free Distillation via Real-world Reinforcement Learning for Robust Contact-Rich Manipulation
Victor Kowalski, Chengxi Li, Dongheui Lee
When using reinforcement learning (RL) for contact-rich robotic manipulation, vision can provide task-relevant information that accelerates learning beyond what proprioception alon…
cs.RO2026
DexTwist: Dexterous Hand Retargeting for Twist Motion via Mixed Reality-based Teleoperation
Dongmyoung Lee, Chengxi Li, Dongheui Lee
Dexterous teleoperation via Mixed Reality (MR)-based interfaces offers a scalable paradigm for transferring human manipulation skills to dexterous robot hands. However, conventiona…
cs.RO2024
Bimanual Deformable Bag Manipulation Using a Structure-of-Interest Based Neural Dynamics Model
Peng Zhou, Pai Zheng, Jiaming Qi +5
The manipulation of deformable objects by robotic systems presents a significant challenge due to their complex and infinite-dimensional configuration spaces. This paper introduces…