MAPF
Multi-Agent Path Finding, the problem of planning conflict-free paths for all agents simultaneously in a joint state space. Common algorithms include CBS, prioritized planning, and MAPF-LNS.
Timeline (last 90 days)
Multi-Agent Pathfinding (MAPF) has been proven to be an NP-hard problem.
In actual industrial deployments, engineers typically abandon the pursuit of globally optimal solutions and instead adopt approximate algorithms or heuristic methods to obtain sufficiently good solutions within acceptable time frames.
The paper "Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks" by Stern et al. systematically surveys MAPF problem definitions and variant classifications.
Multi-Agent Path Finding (MAPF) requires planning collision-free paths for multiple agents in a shared space and is an NP-hard problem.
All Facts (4)
Multi-Agent Pathfinding (MAPF) has been proven to be an NP-hard problem.
50%UnverifiedIn actual industrial deployments, engineers typically abandon the pursuit of globally optimal solutions and instead adopt approximate algorithms or heuristic methods to obtain sufficiently good solutions within acceptable time frames.
50%UnverifiedThe paper "Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks" by Stern et al. systematically surveys MAPF problem definitions and variant classifications.
50%UnverifiedMulti-Agent Path Finding (MAPF) requires planning collision-free paths for multiple agents in a shared space and is an NP-hard problem.
50%