Long-horizon compositional manipulation has become increasingly important for real-world robot deployment, where a single task involves multiple coordinated subtasks. Existing world-action models (WAMs) jointly predict short-horizon visual futures and actions, but typically lack explicit subtask-level reasoning. We pro...
Shu-Kai Gong, Xuan-Ran Zhai, Yintianrun Zhang et al.· 0 citations
HAT-4D is proposed, the first agentic framework designed to reconstruct the 3D geometry, temporal dynamics, and physical interactions of multiple objects from a single video, accompanied by a novel multi-dimensional evaluation protocol focused on physical plausibility and temporal consistency.
Kora is proposed, a scalable multi-agent world model that supports inference-time expansion to arbitrary numbers of agents without retraining and decouples world-state evolution from visual rendering and introduces a population-agnostic rendering mechanism for incorporating other agent information.
Renjie Zhao, Yu-Xiang Wu, Mingyu Zhang et al.· 1 citation
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