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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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Principais autores: Christoph Manss, Isabel Kuehner, Dmitriy Shutin
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-04-01
Serier:Entropy
Fag:
distributed estimation
Sparse Bayesian Learning
exploration
swarm
multi-agent systems
consensus
Online adgang:https://www.mdpi.com/1099-4300/24/5/580
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