Zhongqiang Ma

Proactive Multi-Robot Path Planning via Monte Carlo Congestion Prediction in Intralogistics

The increasing deployment of autonomous robots in intralogistics has significantly enhanced operation efficiency and throughput. However, dynamic and uncertain environments introduce challenges like congestion, collisions, and deadlocks. Current multi-robot path finding algorithms are often reactive