A Minor-Testing Approach for Coordinated Motion Planning with Sliding Robots
Eduard Eiben, Robert Ganian, Iyad Kanj, Ramanujan M. Sridharan

TL;DR
This paper investigates the complexity of a robot motion planning problem on graphs, providing fixed-parameter algorithms based on the number of robots and makespan, with new insights into problem structure and computational limits.
Contribution
It introduces fixed-parameter algorithms for the CSMP problem based on robot count and makespan, and analyzes complexity in special cases with novel topological minor techniques.
Findings
Fixed-parameter algorithm for CSMP by number of robots
Fixed-parameter algorithm for CSMP by makespan in planar graphs
NP-completeness of a special CSMP case with a single robot in planar graphs
Abstract
We study a variant of the Coordinated Motion Planning problem on undirected graphs, referred to herein as the \textsc{Coordinated Sliding-Motion Planning} (CSMP) problem. In this variant, we are given an undirected graph , robots positioned on distinct vertices of , distinct destination vertices for robots , and . The problem is to decide if there is a serial schedule of at most moves (i.e., of makespan ) such that at the end of the schedule each robot with a destination reaches it, where a robot's move is a free path (unoccupied by any robots) from its current position to an unoccupied vertex. The problem is known to be NP-hard even on full grids. It has been studied in several contexts, including coin movement and reconfiguration problems, with respect to feasibility, complexity, and approximation.…
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