2 papers
cs.RO2026
Learning Whole-Body Humanoid Locomotion via Motion Generation and Motion Tracking
Zewei Zhang, Kehan Wen, Michael Xu +7
Whole-body humanoid locomotion is challenging due to high-dimensional control, morphological instability, and the need for real-time adaptation to various terrains using onboard pe…
cs.GR2025
PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers
Michael Xu, Yi Shi, KangKang Yin +1
Humans excel in navigating diverse, complex environments with agile motor skills, exemplified by parkour practitioners performing dynamic maneuvers, such as climbing up walls and j…