Humanoid parkour policies can traverse various terrains, but task completion may mask challenges of harsh landings, edge contacts, and unstable stance contacts. Humans naturally regulate foot-terrain interaction through tactile feedback, modulating contact compliance according to terrain stiffness. This highlights a ke...
Zi-Zhuo Wang, Ming-Ju Lee, Shao-Ting Zhu et al.· 0 citations
Humanoid loco-manipulation demands coordinated body and hand behavior, while conventional robot pre-training data provide limited coverage of such whole-body motion. We present WB-WAM, a World Action Model that incorporates explicit whole-body action supervision into generative video pre-training. A shared physical act...
Chuan Qin, Shao-Ting Zhu, Si-Yuan Luo et al.· 0 citations
G0.5 is introduced, a pretrained autoregressive VLA in which a single transformer decoder emits reasoning and action tokens under a single objective, which exceeds state-of-the-art models across 7 independent regimes.
Yi-Cheng Liu, Zibin Dong, Baijun Ye et al.· 17 citations· ⚡2
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.