Risk allocation strategies for distributed chance-constrained task allocation
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How_Risk allocation.pdf
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482.37 KB
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Adobe PDF
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6e974c38859d483e47942aebeec5c368
Author(s)
Ponda, Sameera S.
Johnson, Luke B.
How, Jonathan P.
Date Issued
June 2013
Journal
American Control Conference (ACC), 2013
Citation
Ponda, S.S.; Johnson, L.B.; How, J.P., "Risk allocation strategies for distributed chance-constrained task allocation," American Control Conference (ACC), 2013 , vol., no., pp.3230,3236, 17-19 June 2013.
Version
Author's final manuscript
Abstract
This paper addresses the issue of allocating risk amongst agents in distributed chance-constrained planning algorithms. Building on previous research that extended chance-constrained planning to stochastic multi-agent multi-task missions, this paper presents a framework for risk allocation and proposes several strategies for distributing risk in homogeneous and heterogeneous teams. In particular, the contributions of this work include: proposing risk allocation strategies that exploit domain knowledge of agent score distributions to improve team performance, providing insights about what stochastic parameters affect the allocations and the overall mission score/performance, and providing results showing improved performance over previously published heuristic techniques in environments with given allowable risk thresholds.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6580329&queryText%3DRisk+Allocation+Strategies+for+Distributed+Chance-Constrained+Task+Allocation
