Non-parametric inference and coordination for distributed robotics
This paper presents non-parametric methods to infer the state of an environment by distributively controlling robots equipped with sensors. Each robot represents its belief of the environment state with a weighted sample set, which is used to draw likely observations to approximate the gradient of m...
Main Authors: | Julian, Brian John, Angermann, Michael, Rus, Daniela L. |
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Other Authors: | Lincoln Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2014
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Online Access: | http://hdl.handle.net/1721.1/90614 https://orcid.org/0000-0001-5473-3566 |
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