Jan 16, 2014 · In this problem, robots are required to repeatedly visit a target area in a way that maximizes their chances of detecting an adversary trying to ...
Abstract. The problem of adversarial multi-robot patrol has gained interest in recent years, mainly due to its immediate relevance to various security ...
In this problem, robotsare required to repeatedly visit a target area in a way that maximizes their chances ofdetecting an adversary trying to penetrate through ...
In this problem, robots are required to repeatedly visit a target area in a way that maximizes their chances of detecting an adversary trying to penetrate ...
In this problem, robots are required to repeatedly visit a target area in a way that maximizes their chances of detecting an adversary trying to penetrate ...
A polynomial-time algorithm for determining an optimal patrol under the Markovian strategy assumption for the robots, such that the probability of detecting ...
We consider a strong adversarial model, in which the adversary has full knowledge of the patrol strategy and the robots' positions at the time of the first ...
Aug 13, 2018 · Noa Agmon, Gal A. Kaminka, Sarit Kraus: Multi-Robot Adversarial Patrolling: Facing a Full-Knowledge Opponent. CoRR abs/1401.3903 (2014).
In full-knowledge multi-robot adversarial patrolling, a group of robots has to detect an adversary who knows the robots' strategy. The adversary can easily ...
ABSTRACT. The use of robot teams is common for performing patrol tasks, in which the robots are required to repeatedly visit a target area.
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