Decentralized Information-Rich Planning and Hybrid Sensor Fusion for Uncertainty Reduction in Human-Robot Missions

Decentralized Information-Rich Planning and Hybrid Sensor Fusion for Uncertainty Reduction in Human-Robot Missions

This paper introduces a novel planning and estimation framework for maximizing infor- mation collection in missions involving cooperative teams of multiple autonomous vehicles and human agents, such as those used for multi-target search and tracking. The main contribution of this work is the scal...

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Bibliographic Details
Main Authors: Ahmed, Nisar, Luders, Brandon Douglas, Sample, Eric, Shah, Danelle, Campbell, Mark, How, Jonathan P., Ponda, Sameera S.
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: American Institute of Aeromautics and Astronautics 2013
Online Access:http://hdl.handle.net/1721.1/82025
https://orcid.org/0000-0001-8576-1930

Internet

http://hdl.handle.net/1721.1/82025
https://orcid.org/0000-0001-8576-1930

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