Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

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 …

In the numerous existing studies dealing with multi-agent robot systems, the systems are
positioned on the crossover area of robotics and distributed autonomous systems. Multi …

Planning optimal paths for large numbers of robots is computationally expensive. In this
paper, we introduce a new framework for multirobot path planning called subdimensional …

In this paper an optimalmethod for distributed collision avoidance among multiple non-
holonomic robots is presented in theory and experiments. Non-holonomic optimal reciprocal …

We propose a representation and a planning algorithm able to deal with problems
integrating task planning as well as motion and manipulation planning knowledge involving …

In this paper we address the problem of motion planning for multiple robots. We introduce a
prioritized method, based on a powerful method for motion planning in dynamic …

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 …

This paper focuses on the collision-free coordination of multiple robots with kinodynamic
constraints along specified paths. We present an approach to generate continuous velocity …