A decentralized multi-robot exploration system using A*-based frontier density features and a learned proximity-limited map-sharing action reaches roughly 80 to 100 percent coverage in simulation and lab tests.
Multi-agent systems for search and rescue applications,
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Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search
A decentralized multi-robot exploration system using A*-based frontier density features and a learned proximity-limited map-sharing action reaches roughly 80 to 100 percent coverage in simulation and lab tests.