A Scalable Information Theoretic Approach to Distributed Robot Coordination
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...
| Main Authors: | , , , |
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| Other Authors: | |
| Language: | en-US |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/1721.1/64821 |