Author

Zhong-Qiang Ren

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Open access Aug 2026

BCBS-AA: Bounded Sub-Optimal Conflict-Based Search for Multi-Agent Path Finding with Asynchronous Actions

New techniques to consider asynchronous actions when distributing the sub-optimality bound among the agents and when selecting nodes for expansion during planning are developed.

Xue-Mian Wu, Shi-Zhe Zhao, Zhong-Qiang Ren · Proceedings of the Internati... · 1 citation

Review Aug 2026

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms

A role-of-learning taxonomy is proposed that categorizes existing methods according to how learning participates in the planning pipeline, including direct policy learning, learning-augmented classical planning, hybrid planning, and training enhancement methods.

Zong-Yuan Shen, Shalabh Gupta, Shan-Cheng Zhao et al. · 1 citation