Intelligent techniques foster the dissemination of new discoveries and novel technologies
that advance the ability of robots to assist and support humans. The human-centered …

This paper introduces the concepts of distributed intelligence, outlining the motivations for
studying this field of research. We then classify common systems of distributed intelligence …

The multi-agent pathfinding problem (MAPF) is the fundamental problem of planning paths
for multiple agents, where the key constraint is that the agents will be able to follow these …

Within the context of multiple mobile, and networked robot systems, this chapter explores the
current state of the art. After a brief introduction, we first examine architectures for multirobot …

We present a constrained optimization method for multi-robot formation control in dynamic
environments, where the robots adjust the parameters of the formation, such as size and …

In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown
significantly in size and importance in recent years. Having made great progress in the …

We study optimal multirobot path planning on graphs (MPP) over four minimization
objectives: the makespan (last arrival time), the maximum (single-robot traveled) distance …

We study the problem of imitation learning from demonstrations of multiple coordinating
agents. One key challenge in this setting is that learning a good model of coordination can …

In this paper, we consider the problem of concurrent assignment and planning of trajectories
(which we denote Capt) for a team of robots. This problem involves simultaneously …

This paper connects multi-agent path planning on graphs (roadmaps) to network flow
problems, showing that the former can be reduced to the latter, therefore enabling the …