A Leapfrog Strategy for Pursuit-Evasion in a Polygonal Environment

Author:

Ames Brendan1,Beveridge Andrew2,Carlson Rosalie3,Djang Claire4,Isler Volkan5,Ragain Stephen6,Savage Maxray2

Affiliation:

1. Department of Mathematics, University of Alabama, Box 870350, Tuscaloosa, AL 35487, USA

2. Department of Mathematics, Statistics and Computer Science, Macalester College, 1600 Grand Avenue, St Paul, MN 55105, USA

3. Department of Mathematics, University of California, South Hall, Room 6607, Santa Barbara, CA 93106, USA

4. Department of Mathematics, Oberlin College, 10 N. Professor St, King 205, Oberlin, OH 44074, USA

5. Department of Computer Science, University of Minnesota, 4-192 Keller Hall, 200 Union St SE, Minneapolis, MN 55455, USA

6. Department of Management Science and Engineering, Stanford University, Huang Engineering Center, 475 Via Ortega, Stanford, CA 94305, USA

Abstract

We study pursuit-evasion in a polygonal environment with polygonal obstacles. In this turn based game, an evader [Formula: see text] is chased by pursuers [Formula: see text]. The players have full information about the environment and the location of the other players. The pursuers are allowed to coordinate their actions. On the pursuer turn, each [Formula: see text] can move to any point at distance at most 1 from his current location. On the evader turn, he moves similarly. The pursuers win if some pursuer becomes co-located with the evader in finite time. The evader wins if he can evade capture forever. It is known that one pursuer can capture the evader in any simply-connected polygonal environment, and that three pursuers are always sufficient in any polygonal environment [Formula: see text] (possibly with polygonal obstacles). We contribute two new results to this field. First, we fully characterize when an environment with a single obstacle is one-pursuerwin or two-pursuer-win. Second, we give sufficient (but not necessary) conditions for an environment to have a winning strategy for two pursuers. Such environments can be swept by a leapfrog strategy in which the two cops alternately guard/increase the currently controlled area. The running time of this algorithm is [Formula: see text] where [Formula: see text] is the number of vertices, [Formula: see text] is the number of obstacles and [Formula: see text] is the diameter of the polygonal environment [Formula: see text]. More concretely, for an environment with [Formula: see text] vertices, we describe an [Formula: see text] algorithm that (1) determines whether the obstacles are well-separated, and if so, (2) constructs the required partition for a leapfrog strategy.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Computational Mathematics,Computational Theory and Mathematics,Geometry and Topology,Theoretical Computer Science

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