Abstract Purpose of Review Planning collision-free paths for multiple robots is important for
real-world multi-robot systems and has been studied as an optimization problem on graphs …

Abstract Multi-Agent Motion Planning (MAMP) is the task of finding conflict-free
kinodynamically feasible plans for agents from start to goal states. While MAMP is of …

This work considers the cooperative trajectory-planning problem along a double lane
change scenario for autonomous driving. In this paper, we develop two frameworks to solve …

We propose a loosely-coupled framework for integrated task assignment, motion planning,
coordination and control of heterogeneous fleets of robots subject to non-cooperative tasks …

In many real-world applications of multi-agent systems, teams of agents must assign targets
among themselves and plan paths to the targets. The agents must avoid collisions with each …

This paper addresses the problem of automating fleets of robots with non-holonomic
dynamics. Previously studied methods either specialize in facets of this problem, that is, one …

Cooperative autonomous agents navigating in different environments without colliding with
obstacles or with each other can be useful in real-world application domains such as …

This paper deals with the problem of allocating goals to multiple robots with complex
dynamics while computing obstacle-free motions to reach those goals. The spectrum of …

To address the collision avoidance problem of automated stacking cranes (ASCs) in the
automated container terminal, this paper provides a collision-free simulation framework for …

This work considers the cooperative trajectory-planning problem along a double lane
change scenario for autonomous driving. In this paper we develop two frameworks to solve …