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cs.RO2026
Box-WAM: Box Trajectories as Compact State Representations for World Action Models
Qinxi Yu, Wenzhou Ding, Gloria X. Wang +2
World action models (WAMs) are a category of policy models that ex- plicitly predict both actions and future world states. They have been shown to outperform action-only models acr…
cs.RO2026
Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos
Albert J. Zhai, Kuo-Hao Zeng, Jiasen Lu +3
The ability to learn manipulation skills by watching videos of humans has the potential to unlock a new source of highly scalable data for robot learning. Here, we tackle prehensil…