Industry and government agencies envision the deployment of autonomous systems
throughout society, especially autonomous vehicles that operate within civilian and military …

This paper develops a low-computation area-decomposition based approach for tasking
and planning for a team of Unmanned Aerial Vehicles (UAVs) involved in a search mission …

In this work, a robust fast finite-time sliding mode control (RFFTSMC) approach is developed
for industrial robot manipulator (IRM) system involved for tasks of interactive manipulation …

Satisfying both safety and reachability requirements in dynamic adversarial environments is
very challenging, particularly when little or no information about the dynamics and intentions …

This paper addresses the dynamic adversarial reach-avoid problem in which the attacker
aims at visiting a fixed target while avoiding the other vehicle (defender), which is trying to …

In this paper, we study one of the most fundamental tasks in human‐computer interaction,
the pointing task. It can be described simply as reaching a target with a cursor starting from …

This paper develops a symbolic technique for the control and path planning of autonomous
vehicles in adversarial environments. We consider the objective of the autonomous vehicle …

This paper proposes necessary and sufficient conditions for task decomposability with
respect to an arbitrary finite number of agents. It is furthermore shown that fulfilling the …

This paper develops a modular framework for cooperative tasking for multi-agent systems.
The paper focuses on logical behaviors of multi-agent systems that can be represented by …

This paper addresses the motion planning problem for two autonomous robots (the defender
and the attacker) with competitive objectives, which are involved in a reach-avoid scenario …