The development of cheap, versatile robots has prompted an intense research in the past decade in multi-robot systems and their applications. Almost any robotic task can benefit from the cooperation of several robots, working together towards a common goal. On the other hand, the coordination of a team of robots has raised numerous questions and research problems involving perception, planning and control. One of the main challenges in these systems is to maintain optimality in the control actions and the navigation plans for the whole team when each robot only has partial information due to local sensing and limited communications.

The aim of this workshop is to discuss ideas to overcome these challenges, analyze the state of the art in perception-based solutions for planning and control of multi-robot systems and identify the most promising research directions in the context of cooperative perception and navigation. To achieve these goals, we will bring together leading researchers from related areas to discuss the latest theoretical and algorithmic solutions where the limitations of local perception and bandwidth represent the centerpiece component of the problem.