Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning

Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning

Increasing the autonomy of multi-agent systems or swarms for exploration missions requires tools for efficient information gathering. This work studies this problem from theoretical and experimental perspectives and evaluates an exploration system for multiple ground robots that cooperatively explor...

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Bibliographic Details
Main Authors:	Christoph Manss, Isabel Kuehner, Dmitriy Shutin
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Entropy
Subjects:	distributed estimation Sparse Bayesian Learning exploration swarm multi-agent systems consensus
Online Access:	https://www.mdpi.com/1099-4300/24/5/580

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