Patrolling security games: Definition and algorithms for solving large instances with single patroller and single intruder

Patrolling environments by means of autonomous mobile robots has received an increasing attention in the last few years. The interest of the agent community is mainly in the development of effective patrolling strategies. Approaches based on game theory have been demonstrated to be very effective. They model the patrolling situation as a two-player leader-follower game, where the patroller is the leader and the intruder is the follower. These models present several limitations that prevent their use in realistic settings. In this paper, we extend the most general model from the state of the art along two directions, we propose algorithms to solve efficiently our extensions, and we experimentally evaluate them.

/pdf/extending-algorithms-for-mobile-robot-patrolling-in-the-49cs9xabs7.pdf

Extending Algorithms for Mobile Robot Patrolling in the Presence of Adversaries to More Realistic Settings

Use of game theoretical models to derive randomized mobile robot patrolling strategies has recently received a growing attention We focus on the problem of patrolling environments with arbitrary topologies using multiple robots We address two important issues currently open in the literature We determine the smallest number of robots needed to patrol a given environment and we compute the optimal patrolling strategies along several coordination dimensions Finally, we experimentally evaluate the proposed techniques

https://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/download/1808/2182

Asynchronous multi-robot patrolling against intrusions in arbitrary topologies

Extending Algorithms for Mobile Robot Patrolling in the Presence of Adversaries to More Realistic Settings.

Using autonomous mobile robots to patrol environments for detecting intruders is a topic of increasing relevance for its possible applications. A large part of strategies for mobile patrolling robots proposed so far adopt some kind of random movements. Although these strategies are unpredictable for an intruder, they are not always efficient in getting the patroller a large expected utility. In this paper we propose an approach that considers a model of the adversary in a game theoretic framework to find optimally-efficient patrolling strategies. We show that our approach extends those proposed in literature and we experimentally analyze some of its features.

/pdf/finding-the-optimal-strategies-for-robotic-patrolling-with-4pouezs5j7.pdf

Finding the optimal strategies for robotic patrolling with adversaries in topologically-represented environments

Use of game-theoretic models to address patrolling applications has gained increasing interest in the very last years. The patrolling agent is considered playing a game against an hostile possible intruder. In this paper, we adopt a game-theoretic approach for finding an efficient strategy for a patrolling mobile robot.

A Game-Theoretic Approach to Determining Efficient Patrolling Strategies for Mobile Robots

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A Game-Theoretic Approach to Determining Efficient Patrolling Strategies for Mobile Robots

A Game-Theoretic Approach to Determining Efficient Patrolling Strategies for Mobile Robots