MAMS-A*: Multi-Agent Multi-Scale A*
October 08, 2019 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
"No code URL or promise found in abstract"
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Authors
Jaein Lim, Panagiotis Tsiotras
arXiv ID
1910.03640
Category
cs.MA: Multiagent Systems
Cross-listed
cs.DS
Citations
5
Venue
IEEE International Conference on Robotics and Automation
Last Checked
6 months ago
Abstract
We present a multi-scale forward search algorithm for distributed agents to solve single-query shortest path planning problems. Each agent first builds a representation of its own search space of the common environment as a multi-resolution graph, it communicates with the other agents the result of its local search, and it uses received information from other agents to refine its own graph and update the local inconsistency conditions. As a result, all agents attain a common subgraph that includes a provably optimal path in the most informative graph available among all agents, if one exists, without necessarily communicating the entire graph. We prove the completeness and optimality of the proposed algorithm, and present numerical results supporting the advantages of the proposed approach.
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