Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations

Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations

Robust environment perception is essential for decision-making on robots operating in complex domains. Intelligent task execution requires principled treatment of uncertainty sources in a robot's observation model. This is important not only for low-level observations (e.g., accelerom-eter data...

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Bibliographic Details
Main Authors: Amato, Christopher, Vian, John, Omidshafiei, Shayegan, Liu, Shih-Yuan, Everett, Michael F, Lopez, Brett Thomas, Liu, Miao, How, Jonathan P
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2018
Online Access:http://hdl.handle.net/1721.1/114737
https://orcid.org/0000-0003-0903-0137
https://orcid.org/0000-0002-9838-1221
https://orcid.org/0000-0001-9377-6745
https://orcid.org/0000-0001-5366-911X
https://orcid.org/0000-0002-1648-8325
https://orcid.org/0000-0001-8576-1930

Internet

http://hdl.handle.net/1721.1/114737
https://orcid.org/0000-0003-0903-0137
https://orcid.org/0000-0002-9838-1221
https://orcid.org/0000-0001-9377-6745
https://orcid.org/0000-0001-5366-911X
https://orcid.org/0000-0002-1648-8325
https://orcid.org/0000-0001-8576-1930

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