Author

Ran-Peng Qiu

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Preprint Oct 2026

Before We Act: Learning Action-Conditioned Team-Response Beliefs for Decentralized Multi-Robot Manipulation

In multi-robot manipulation, an action's value depends on how teammates respond. We present \method{} (Cooperative Action--Response Belief Estimation), a framework for learning \emph{team-response beliefs} from local history. A predictive belief encoder represents the interaction and conditions a nominal action. Matche...

Zi-Hao Li, Ya-Nan Zhou, Ran-Peng Qiu et al. · 0 citations

Preprint Oct 2026

CoRE: Learning Collaboration-Role Experts for Decentralized Collaborative Manipulation with One Policy

This work introduces CoRE, which learns Collaboration-Role Experts from pooled multi-task, multi-robot demonstrations, and achieves the highest average performance among evaluated decentralized methods.

Ya-Nan Zhou, Zhao-Yan Qian, Zi-Hao Li et al. · 1 citation

#artificial intelligence Jun 2026

TRACE: Trajectory-Routed Causal Memory for Delayed-Evidence Visuomotor Imitation

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.

Zihao Li, Ran-Peng Qiu, Yin-Cong Chen et al. · arXiv.org · 1 citation