1 citations · 1 across the 7 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.RO2026
WholeBodyWAM: Generalizing Pre-trained World-Action Priors to Humanoid Loco-Manipulation via WBC-Grounded Coordination
Zhuo Li, Yiming Yao, Jim Tan +3
World Action Models (WAMs) offer a promising approach to general-purpose robot manipulation by jointly modeling visual dynamics and actions. However, most WAM studies focus on tabl…
cs.RO2026
Reasoning Without Inference Cost: Latent Semantic Scaffolding for Robot VLA Policies
Andrew Ting Yan Li, Zhuo Li, Zhelin Yang +3
Vision-language-action (VLA) models are trained by imitation and capture what action to take but not why; adding causal reasoning improves manipulation, but current methods pay for…
cs.RO2026
Disentangling perception and reasoning for improving data efficiency in learning cloth manipulation without demonstrations
Donatien Delehelle, Fei Chen, Darwin Caldwell
Cloth manipulation is a ubiquitous task in everyday life, but it remains an open challenge for robotics. The difficulties in developing cloth manipulation policies are attributed t…