Communication enables agents to cooperate to achieve their goals. Learning when to
communicate, ie, sparse (in time) communication, and whom to message is particularly …

Current uncrewed system (UxS) solutions tend to operate with tightly coupled command and
control systems, making it difficult to contribute to operating as an integrated force. The case …

Autonomous agents (robots) face tremendous challenges while interacting with
heterogeneous human agents in close proximity. One of these challenges is that the …

Robotic shepherding has become indispensable in animal husbandry and crowd
management, offering a modern solution to traditional challenges. Drone Automated …

We address the problem of bipartite formation control, with collision avoidance, for double
integrators with limited sensing ranges. We assume that the systems are inter-connected …

This paper introduces a novel control methodology designed to guide a collective of robotic-
sheep in a cluttered and unknown environment using robotic-dogs. The dog-agents …

We propose a method to control networks involving both cooperative and competitive
interactions simultaneously under proximity and collision-avoidance constraints. The control …

The changes in the security environment run parallel to changes in humans and artificial
cognitive systems to meet these challenges. In this article, the purpose is to discuss some …

In this paper, we consider the problem of protecting a high-value area from being breached
by sheep agents by crafting motions for dog robots. We use control barrier functions to pose …

Herding is performed by people or trained animals to control the movement of livestock
under the desired direction of an operator. This paper presents a novel decentralized control …