الباحثون

Jingkai Chen

المنشورات 2

نسخة أولية وصول مفتوح

Belief-Aware Multi-Agent Path Finding under Map Uncertainty

Viraj Parimi, Shao-Hung Chan, Han Zhang وآخرون · 2026

Multi-Agent Path Finding (MAPF) aims to find collision-free paths for multiple agents in a shared environment. Classical MAPF assumes that all static obstacles are known in advance, but real-world environments can change unexpectedly due to fallen objects, spills, or other local disturbances. When such changes are spat …

نسخة أولية وصول مفتوح

ITA-LaCAM: A Complete and Scalable TAPF Solver via Assignment-Aware Configuration-Space Search

Yimin Tang, Han Zhang, Shao-Hung Chan وآخرون · 2026

Combined Target Assignment and Path Finding (TAPF) requires assigning targets for agents while simultaneously planning collision-free paths. We present ITA-LaCAM, a complete and scalable TAPF solver inspired by LaCAM and ITA-CBS. In ITA-LaCAM, each joint-configuration node carries an agent-to-target matching. When a su …

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