3 papers
cs.RO2026
PGMT: Perceptive General Motion Tracking for Humanoid Robots
Hongyi Li, Li Peizhuo, Yucheng Tao +9
Humanoid motion trackers can reproduce diverse whole-body motions, but their performance degrades on complex terrain where terrain-agnostic references become physically infeasible.…
cs.RO2026
SWAP: Symmetric Equivariant World-Model for Agile Robot Parkour
Kaixin Lan, Ze Wang, Hongyi Li +6
While latent world models enable the proactive predictions required for extreme parkour, their purely data-driven nature forces them to redundantly encode left-right symmetric inte…
cs.RO2026
TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion
Peizhuo Li, Hongyi Li, Mingfeng Fan +9
Agile humanoid locomotion across diverse challenging terrain demands both wide perceptual coverage and precise local geometry understanding. Motivated by the way humans selectively…