In the context of heterogeneous multirobot teams deployed for executing multiple tasks, this
article develops an energy-aware framework for allocating tasks to robots in an online …

As the spatial scale of robots decrease in multirobot systems, collisions cease to be
catastrophic events that need to be avoided at all costs. This implies that less conservative, …

Reinforcement Learning (RL) has been shown to be effective in many scenarios. However, it
typically requires the exploration of a sufficiently large number of state-action pairs, some of …

Collisions may be harnessed as a way to improve the overall safety and navigational
effectiveness of some spacecraft. However, leveraging this capability in autonomous platforms …

… Magnus Egerstedt are with the Institute for Robotics and Intelligent Machines, Georgia Institute
of Technology, Atlanta 30308, GA USA (e-mail: emamy@gatech.edu; magnus… AD Ames, “…

This paper presents a coverage control strategy for teams of quadcopters that ensures that
no area is left unsurveyed in between the fields of view of the visual sensors mounted on the …

… Egerstedt are with the School of Electrical and Computer Engineering, Georgia Institute of
… Wang, AD Ames, and M. Egerstedt, “Safety barrier certificates for collisions-free multirobot …

A number of coordinated behaviors are proposed for achieving specific tasks for multirobot
systems. However, since most applications require more than one such behavior, one needs …

When deploying autonomous agents in unstructured environments over sustained periods of
time, adaptability and robustness oftentimes outweigh optimality as a primary consideration…

This article studies the control problem for safety-critical multiagent systems based on
quadratic programming (QP). Each controlled agent is modeled as a cascade connection of an …