A decentralized control policy for adaptive information gathering in hazardous environments
This paper proposes an algorithm for driving a group of resource-constrained robots with noisy sensors to localize an unknown number of targets in an environment, while avoiding hazards at unknown positions that cause the robots to fail. The algorithm is based upon the analytic gradient of mutual in...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/1721.1/90616 https://orcid.org/0000-0001-5473-3566 |