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JAIR 2024

An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees

Journal Article Articles Artificial Intelligence

Abstract

The pebble motion on trees (PMT) problem consists in finding a feasible sequence of moves that repositions a set of pebbles to assigned target vertices. This problem has been widely studied because, in many cases, the more general Multi-Agent path finding (MAPF) problem on graphs can be reduced to PMT. We propose a simple and easy to implement procedure, which finds solutions of length O(|P|nc + n2), where n is the number of nodes, P is the set of pebbles, and c the maximum length of corridors in the tree. This complexity result is more detailed than the current best known result O(n3), which is equal to our result in the worst case, but does not capture the dependency on c and |P|.

Authors

Keywords

  • Multiagent Systems
  • planning
  • robotics

Context

Venue
Journal of Artificial Intelligence Research
Archive span
1993-2026
Indexed papers
1839
Paper id
972139175073353970
v2026.09.13