Title: Improved Discrete RRT for Coordinated Multi-robot Planning,
Abstract: This paper addresses the problem of coordination of a fleet of mobile robots
- the problem of finding an optimal set of collision-free trajectories for
individual robots in the fleet. Many approaches have been introduced during the
last decades, but a minority of them is practically applicable, i.e. fast,
producing near-optimal solutions, and complete. We propose a novel
probabilistic approach based on the Rapidly Exploring Random Tree algorithm
(RRT) by significantly improving its multi-robot variant for discrete
environments. The presented experimental results show that the proposed
approach is fast enough to solve problems with tens of robots in seconds.
Although the solutions generated by the approach are slightly worse than one of
the best state-of-the-art algorithms presented in (ter Mors et al., 2010), it
solves problems where ter Mors's algorithm fails.