Simultaneous Computation with Multiple Prioritizations in Mu
Overview
A new method enables agents to compute with multiple prioritizations simultaneously, improving multi-agent path finding in large networks without domain-specific knowledge, achieving near-optimal results in real-time road network experiments. (2026-10-09).
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- arXiv Robotics — research abstractsSimultaneous Computation with Multiple Prioritizations in Multi-Agent Motion Planning
This paper addresses the computational challenges of multi-agent path finding (MAPF) in large networks by proposing a method that allows agents to compute with multiple prioritizations simultaneously. The approach is general and does not rely on domain-specific knowledge, achieving near-optimal prioritization with minimal additional computation time. It is evaluated in a multi-agent motion planning (MAMP) context with a receding horizon, demonstrating real-time capability in a road network experiment.
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