2 papers
cs.RO2025
N2M: Bridging Navigation and Manipulation by Learning Pose Preference from Rollout
Kaixin Chai, Hyunjun Lee, Joseph J. Lim
Determining where to execute the manipulation policy is a fundamental challenge in mobile manipulation. Most approaches have formulated this as a geometric search problem, prioriti…
cs.RO2024
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
Jesse Zhang, Minho Heo, Zuxin Liu +4
Most reinforcement learning (RL) methods focus on learning optimal policies over low-level action spaces. While these methods can perform well in their training environments, they…