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Zhonghao Bai

1 accepted papers

2026

Efficient Cooperative Trajectory Planning Using Cognitive-Based Risk Models for Multi-Agent Systems in Non-Convex Environments

RA-L 2026

This letter focuses on the multi-agent trajectory planning (MATP) problem for car-like intelligent agents operating in high-density unstructured environments and structured scenarios (e.g., urban roads) containing heterogeneous traffic participants. The primary challenge in addressing such problems

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