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