2 papers
cs.RO2026
Proprioceptive Invariant State Estimation for Humanoid Robots on Non-Inertial Ground
Falak Mandali, Zijian He, Yan Gu
This paper presents an invariant extended Kalman filtering (InEKF) approach for real-time state estimation of humanoid robots operating on non-inertial ground using only onboard pr…
cs.RO2026
PACE: Physics Augmentation for Coordinated End-to-end Reinforcement Learning toward Versatile Humanoid Table Tennis
Muqun Hu, Wenxi Chen, Wenjing Li +9
Humanoid table tennis (TT) demands rapid perception, proactive whole-body motion, and agile footwork under strict timing--capabilities that remain difficult for end-to-end control…