Planning for decentralized control of multiple robots under uncertainty

Planning for decentralized control of multiple robots under uncertainty

This paper presents a probabilistic framework for synthesizing control policies for general multi-robot systems that is based on decentralized partially observable Markov decision processes (Dec-POMDPs). Dec-POMDPs are a general model of decision-making where a team of agents must cooperate to optim...

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Bibliographic Details
Main Authors: Amato, Christopher, Cruz, Gabriel, Maynor, Christopher A., How, Jonathan P., Kaelbling, Leslie P., Konidaris, George D.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2015
Online Access:http://hdl.handle.net/1721.1/100515
https://orcid.org/0000-0002-1729-6085
https://orcid.org/0000-0002-6786-7384
https://orcid.org/0000-0001-8576-1930
https://orcid.org/0000-0001-6054-7145

Internet

http://hdl.handle.net/1721.1/100515
https://orcid.org/0000-0002-1729-6085
https://orcid.org/0000-0002-6786-7384
https://orcid.org/0000-0001-8576-1930
https://orcid.org/0000-0001-6054-7145

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