Collaborative manipulation requires robots to perform complementary actions as interactions unfold. We study single-policy decentralized collaboration: every robot runs the same policy from its visual observations and proprioception, without task prompts, identity labels, or inter-robot messages. The challenge is to le...
Ya-Nan Zhou, Zhao-Yan Qian, Zi-Hao Li et al.· 0 citations
This survey synthesizes agentic reasoning methods into a unified roadmap bridging thought and action, and outlines open challenges and future directions, including personalization, long-horizon interaction, world modeling, scalable multi-agent training, and governance for real-world deployment.
Tian-Xin Wei, Ting-Wei Li, Zhining Liu et al.· 39 citations· ⚡6
This work introduces TRAjectory-routed Causal Evidence (TRACE), a memory framework for visuomotor imitation policies that stores task-relevant visual and robot-state evidence in a fixed-size latent memory that remains bounded over long episodes.