TY - GEN
T1 - Unlabeled Multi-Robot Motion Planning with Tighter Separation Bounds.
AU - Banyassady, Bahareh
AU - Berg, Mark de
AU - Bringmann, Karl
AU - Buchin, Kevin
AU - Fernau, Henning
AU - Halperin, Dan
AU - Kostitsyna, Irina
AU - Okamoto, Yoshio
AU - Slot, Stijn
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - We consider the unlabeled motion-planning problem of m unit-disc robots moving in a simple polygonal workspace of n edges. The goal is to find a motion plan that moves the robots to a given set of m target positions. For the unlabeled variant, it does not matter which robot reaches which target position as long as all target positions are occupied in the end. If the workspace has narrow passages such that the robots cannot fit through them, then the free configuration space, representing all possible unobstructed positions of the robots, will consist of multiple connected components. Even if in each component of the free space the number of targets matches the number of start positions, the motion-planning problem does not always have a solution when the robots and their targets are positioned very densely. In this paper, we prove tight bounds on how much separation between start and target positions is necessary to always guarantee a solution. Moreover, we describe an algorithm that always finds a solution in time O(n log n + mn + m
2) if the separation bounds are met. Specifically, we prove that the following separation is sufficient: any two start positions are at least distance 4 apart, any two target positions are at least distance 4 apart, and any pair of a start and a target positions is at least distance 3 apart. We further show that when the free space consists of a single connected component, the separation between start and target positions is not necessary.
AB - We consider the unlabeled motion-planning problem of m unit-disc robots moving in a simple polygonal workspace of n edges. The goal is to find a motion plan that moves the robots to a given set of m target positions. For the unlabeled variant, it does not matter which robot reaches which target position as long as all target positions are occupied in the end. If the workspace has narrow passages such that the robots cannot fit through them, then the free configuration space, representing all possible unobstructed positions of the robots, will consist of multiple connected components. Even if in each component of the free space the number of targets matches the number of start positions, the motion-planning problem does not always have a solution when the robots and their targets are positioned very densely. In this paper, we prove tight bounds on how much separation between start and target positions is necessary to always guarantee a solution. Moreover, we describe an algorithm that always finds a solution in time O(n log n + mn + m
2) if the separation bounds are met. Specifically, we prove that the following separation is sufficient: any two start positions are at least distance 4 apart, any two target positions are at least distance 4 apart, and any pair of a start and a target positions is at least distance 3 apart. We further show that when the free space consists of a single connected component, the separation between start and target positions is not necessary.
KW - computational geometry
KW - motion planning
KW - simple polygon
UR - http://www.scopus.com/inward/record.url?scp=85134297628&partnerID=8YFLogxK
U2 - 10.4230/LIPIcs.SoCG.2022.12
DO - 10.4230/LIPIcs.SoCG.2022.12
M3 - Conference contribution
T3 - Leibniz International Proceedings in Informatics, LIPIcs
SP - 12:1-12:16
BT - The 38th International Symposium on Computational Geometry (SoCG 2022)
A2 - Goaoc, Xavier
A2 - Kerber, Michael
ER -