A scalable information theoretic approach to distributed robot coordination

A scalable information theoretic approach to distributed robot coordination

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This paper presents a scalable information theoretic approach to infer the state of an environment by distributively controlling robots equipped with sensors. The robots iteratively estimate the environment state using a recursive Bayesian filter, while continuously moving to improve the quality of...

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Bibliographic Details
Main Authors: Julian, Brian J., Angermann, Michael, Schwager, Mac, Rus, Daniela
Other Authors: Lincoln Laboratory
Format: Article
Language:English
Published: IEEE 2021
Online Access:https://hdl.handle.net/1721.1/137084

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