Kevin Zheng

Advancing MAPF Toward the Real World: A Scalable Multi-Agent Realistic Testbed (SMART)

We present Scalable Multi-Agent Realistic Testbed SMART, a realistic and efficient software tool for evaluating Multi-Agent Path Finding (MAPF) algorithms. MAPF focuses on planning collision-free paths for a group of robots. While state-of-the-art MAPF planners can plan paths for hundreds of robots