Assistance in collaborative manipulation is often initiated by user instructions, making high-level reasoning request-driven. In fluent human teamwork, however, partners often infer the next helpful step from the observed outcome of an action rather than waiting for instructions. Motivated by this, we investigate an ev...
Feng-Kai Liu, Hao Su, Hao-Zhuang Chi et al.· 1 citation
Long-horizon planning enables autonomous vehicles to anticipate scene evolution and potential risks, supporting safe and stable decisions in complex interactions. However, existing methods struggle to propagate motion trends from observed history into the future. Long rollouts based on a single latent state may further...
Zi-Ying Song, Sheng-Kai Zhang, Lei Yang et al.· 0 citations
PV-WM, a history-only world model over structured post-perception tracks, recurrently advances pedestrian root motion, 15-joint articulation, and learned vehicle states within a synchronized heterogeneous state while preserving type-specific pedestrian and vehicle dynamics.
Hao-Zhuang Chi, Jing-Song Liang, Zi-Ying Song et al.· 2 citations
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