Robotic adversarial coverage of known environments

Coverage is a fundamental problem in robotics, where one or more robots are required to visit each point in a target area at least once. Most previous work has concentrated on finding a coverage path that would minimize the coverage time. In this paper, we consider a new and more general version of the problem: adversarial coverage. Here, the robot operates in an environment that contains threats that might stop the robot. The objective is to cover the target area as quickly as possible, while minimizing the probability that the robot will be stopped before completing the coverage. This version of the problem has many real-world applications, from performing coverage missions in hazardous fields such as nuclear power plants, to surveillance of enemy forces in the battlefield and field demining. In this paper, we discuss the offline version of adversarial coverage, in which a map of the threats is given to the robot in advance. First, we formally define the adversarial coverage problem and present differen...