Abstract Purpose of Review Robotic patrolling aims at protecting a physical environment by
deploying a team of one or more autonomous mobile robots in it. A key problem in this …

Several interesting problems in multi-robot systems can be cast in the framework of
distributed optimization. Examples include multi-robot task allocation, vehicle routing, target …

Random transmission events between individuals occurring at short scales control patterns
emerging at much larger scales in natural and artificial systems. Examples range from the …

Patrolling with multiple robots is a challenging task. While the robots collaboratively and
repeatedly cover the regions of interest in the environment, their routes should satisfy two …

We consider the problem of synthesizing optimal policies for Markov decision processes
(MDP) for both utility objective and security constraint. Specifically, our goal is to maximize …

The interaction topology plays a significant role in the distributed motion coordination of
multi-robot systems (MRSs) for its noticeable impact on the information flow between robots …

In the field of multi-robot patrolling, graph-based environment models are a popular
approach for designing and testing distributed multi-robot patrol strategies. These strategies …

Stochastic patrol routing is known to be advantageous in adversarial settings; however, the
optimal choice of stochastic routing strategy is dependent on a model of the adversary. Duan …

Moving vehicle-based sensors (MVSs) have been increasingly used for real-time sensing
and anomaly detection in various applications such as the detection of wildfires and oil …

Markov chains have been increasingly used to define persistent robotic surveillance
schemes. Motivations for this design choice include their easy implementation …