Randomized path planning with deceptive strategies

Philip Root, Jan De Mot, Eric Feron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations


In this paper we study a non-cooperative zero-sum game where one player performs reconnaissance while the second player constantly observes the first. This game has implications for teams of UAVs operating within aural and visual detection range of threat forces. In particular, the threat can potentially react dynamically to UAV observations and endanger future movements. We propose a specific behavior essential to an optimal policy for a team of agents, and create a randomized algorithm inspired by these heuristics. Implementation of this path planner onto a team of autonomous helicopters demonstrated the utility of the algorithm in real time applications. © 2005 AACC.
Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
Number of pages6
StatePublished - Sep 1 2005
Externally publishedYes

Bibliographical note

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