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cs.RO2026
Dataset-Free Compliant Humanoid Loco-Manipulation with Dynamic Online Posture
Seungho Yeom, Zhenyu Wu, Jaeyoung Huh +4
Most humanoid loco-manipulation controllers require human motion data to learn whole-body coordination and posture, leaving policies reliant on external sources to provide this dat…
cs.RO2026
Remember what you did?: Learning Behavioral Memories for Partially Observable Object Manipulation
Kuancheng Wang, Seungho Yeom, Jinglin Cao +3
Long horizon, contact-rich manipulation is inherently partially observable. This is as a single visual observation rarely captures a robot's full action context, including prior at…