The Parameterized Complexity of Coordinated Motion Planning

TL;DR

This paper analyzes the computational complexity of coordinated motion planning for multiple robots on a grid, establishing fixed-parameter tractability results and hardness boundaries for different objectives and parameters.

Contribution

It provides the first fixed-parameter tractability results for CMP with respect to the number of robots and objective target, and shows para-NP-hardness for CMP-M when parameterized by the target.

Findings

CMP-M is para-NP-hard when parameterized by the objective target.

CMP-L remains fixed-parameter tractable when parameterized by the objective target.

The paper establishes NP-hardness of classical path-disjointness problems on grids as a corollary.

Abstract

In Coordinated Motion Planning (CMP), we are given a rectangular-grid on which $k$ robots occupy $k$ distinct starting gridpoints and need to reach $k$ distinct destination gridpoints. In each time step, any robot may move to a neighboring gridpoint or stay in its current gridpoint, provided that it does not collide with other robots. The goal is to compute a schedule for moving the $k$ robots to their destinations which minimizes a certain objective target - prominently the number of time steps in the schedule, i.e., the makespan, or the total length traveled by the robots. We refer to the problem arising from minimizing the former objective target as CMP-M and the latter as CMP-L. Both CMP-M and CMP-L are fundamental problems that were posed as the computational geometry challenge of SoCG 2021, and CMP also embodies the famous $(n^2-1)$-puzzle as a special case. In this paper, we settle the parameterized complexity of CMP-M and CMP-L with respect to their two most fundamental parameters: the number of robots, and the objective target. We develop a new approach to establish the fixed-parameter tractability of both problems under the former parameterization that relies on novel structural insights into optimal solutions to the problem. When parameterized by the objective target, we show that CMP-L remains fixed-parameter tractable while CMP-M becomes para-NP-hard. The latter result is noteworthy, not only because it improves the previously-known boundaries of intractability for the problem, but also because the underlying reduction allows us to establish - as a simpler case - the NP-hardness of the classical Vertex Disjoint and Edge Disjoint Paths problems with constant path-lengths on grids.