TY - GEN
T1 - Planning random path distributions for ambush games in unstructured environments
AU - Boidot, Emmanuel
AU - Feron, Eric
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-18
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Operating vehicles in adversarial environments require non-conventional planning techniques. A two-player, zero-sum non-cooperative game is introduced, and solved via a linear program. An extension is proposed to construct networks displaying good representations of the environment characteristics, while offering acceptable results for the technique used. Sensitivity of the solution to the LP solver algorithm is identified. The planner's performances are finally assessed by comparison with those of conventional planners. Results are used to formulate secondary objectives to the problem. © 2012 IEEE.
AB - Operating vehicles in adversarial environments require non-conventional planning techniques. A two-player, zero-sum non-cooperative game is introduced, and solved via a linear program. An extension is proposed to construct networks displaying good representations of the environment characteristics, while offering acceptable results for the technique used. Sensitivity of the solution to the LP solver algorithm is identified. The planner's performances are finally assessed by comparison with those of conventional planners. Results are used to formulate secondary objectives to the problem. © 2012 IEEE.
UR - http://ieeexplore.ieee.org/document/6523899/
UR - http://www.scopus.com/inward/record.url?scp=84879582767&partnerID=8YFLogxK
U2 - 10.1109/SSRR.2012.6523899
DO - 10.1109/SSRR.2012.6523899
M3 - Conference contribution
SN - 9781479901654
BT - 2012 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2012
ER -