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Proceedings Paper

Planning to fail: using reliability to improve multirobot task allocation
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Paper Abstract

The reliability of individual robots influences the success of multirobot missions. When one robot fails, others must be retasked to complete the failed robot's tasks. This increases the failure likelihood for these other robots. Existing multirobot task allocation systems consider robot failures only after the fact, via replanning. In this paper we show that mission performance for multirobot missions can be improved by using knowledge of robot failure rates to inform the initial task allocation.

Paper Details

Date Published: 8 May 2010
PDF: 9 pages
Proc. SPIE 7693, Unattended Ground, Sea, and Air Sensor Technologies and Applications XII, 76930M (8 May 2010); doi: 10.1117/12.852593
Show Author Affiliations
Stephen B. Stancliff, Energetics Technology Ctr. of Southern Maryland (United States)
John M. Dolan, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 7693:
Unattended Ground, Sea, and Air Sensor Technologies and Applications XII
Edward M. Carapezza, Editor(s)

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