Stochastic Pursuit-Evasion Differential Games for Autonomous Vehicles

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$729,809.00
Award Year:
2005
Program:
SBIR
Phase:
Phase II
Contract:
W911NF-06-C-0018
Award Id:
73534
Agency Tracking Number:
A043-061-1385
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
200 Canal View Boulevard, Rochester, NY, 14623
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
073955507
Principal Investigator:
Gregory Kacprzynski
Project Manager
(585) 424-1990
greg.kacprzynski@impact-tek.com
Business Contact:
Mark Redding
President
(585) 424-1990
mark.redding@impact-tek.com
Research Institute:
n/a
Abstract
Based on the problem formulation for pursuit-evasion differential game with the payoff of the optimal capture time and innovative multi-pursuers multi-evaders differential game techniques developed in Phase I, Impact Technologies, in collaboration with the Georgia Institute of technology, propose to develop the design tool prototype for stochastic pursuit-evasion differential games with multi-pursuers and multi-evaders. Specifically, this project will consist of: 1) Establishing the existence of Nash-type equilibrium for the value of the stochastic pursuit-evasion differential game; 2) Deriving the Hamilton-Jacobi-Isaacs (HJI) partial differential equations and verifying the regularity of the solution of the above equations; 3) Cataloging the characterization of optimal pursuit-evasion strategies and obtaining numerical solutions of the equations obtained above and their corresponding optimal pursuit-evasion strategies; 4) Improving decomposition approaches for pursuit-evader differential games with multi-pursuers and multi-evaders; 5) Develop game design tool prototype; and 6) Simulation and demonstration. The deliverables are Toolbox for Design of Pursuit-Evasion Differential Games with Multi-Pursuers and Multi-Evaders, which will be the first commercial product in the market.

* information listed above is at the time of submission.

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