2 papers
cs.RO2026
Booster Lab: A Data-Centric Pipeline for Learning Deployable Humanoid Locomotion Policies
Penghui Chen, Tinglong Zheng, Yufeng Zhang +1
Humanoid robot motion learning requires not only task-oriented control policies but also physically feasible and natural behaviors that can be transferred to real robots. However,…
cs.RO2026
Preference-Conditioned Multi-Objective RL for Integrated Command Tracking and Force Compliance in Humanoid Locomotion
Tingxuan Leng, Yushi Wang, Tinglong Zheng +2
Humanoid locomotion requires not only accurate command tracking for navigation but also compliant responses to external forces during human interaction. Despite significant progres…