DP-GMM based probabilistic frontier prioritization enhances two multi-agent exploration algorithms with average gains of 10% and 14% in simulations across varied conditions and real dual-drone tests.
Autonomous indoor exploration via polygon map construction and graph-based SLAM using directional endpoint features
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Enhancing Multi-Robot Exploration Using Probabilistic Frontier Prioritization with Dirichlet Process Gaussian Mixtures
DP-GMM based probabilistic frontier prioritization enhances two multi-agent exploration algorithms with average gains of 10% and 14% in simulations across varied conditions and real dual-drone tests.