Bayes-Swarm is a new decentralized swarm robotic search method using trajectory-based knowledge modeling, time-adaptive exploration/exploitation balancing, and local penalization in batch BO, showing up to 76x efficiency over exhaustive search on multimodal signals.
Decentralized task allocation in multi-robot systems via bipartite graph matching augmented with fuzzy clustering,
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Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search
Bayes-Swarm is a new decentralized swarm robotic search method using trajectory-based knowledge modeling, time-adaptive exploration/exploitation balancing, and local penalization in batch BO, showing up to 76x efficiency over exhaustive search on multimodal signals.