We develop a resilient binary hypothesis testing frame-work for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …

We develop a resilient binary hypothesis testing framework for decision making in
adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust …

In this article, we characterize the advantage of using a robot's neighborhood to find and
eliminate adversarial robots in the presence of a Sybil attack. We show that by leveraging …

Over the years, autonomous systems have entered almost all the facets of human life.
Gradually, higher levels of autonomy are being incorporated into cyber-physical systems …

Inspired by swarms in nature, swarm robotics have been developed to conduct various
challenging tasks such as environmental monitoring, disaster recovery, logistics, and even …

The design of large groups of simple robots that coordinates through local interactions has
attracted great interest in engineering research and defined the field of swarm robotics [1] …

In this letter, we train a convolutional neural network (CNN) to predict the probability of
security of a multi-robot system (MRS) when robot interactions are probabilistic. In the …

The advent of autonomous mobile multi-robot systems has driven innovation in both the
industrial and defense sectors. The integration of such systems in safety-and security-critical …

Coordination in a large number of networked robots is a challenging task, especially when
robots are continuously moving around the environment and there are malicious attacks …

Multi-robot patrolling is the problem of repeatedly visiting a group of regions of interest in an
environment with a group of robots to prevent intrusion. Early works proposed deterministic …