Uniform Deployment of Mobile Robots in Complete Bipartite Graphs

In this paper, we address the problem of uniformly deploying mobile robots in complete bipartite graphs. Specifically, when n robots are positioned arbitrarily at distinct nodes in a complete bipartite graph K_{n,n}, which consists of two n-node sets V_L and V_R, the uniform deployment problem requires the robots to achieve one of the following configurations: (a) each node in V_L is occupied by exactly one robot, with no robots in V_R, or (b) each node in V_R is occupied by exactly one robot, with no robots in V_L. In either configuration, the distance between any two robots is 2, ensuring that the robots are uniformly deployed. In this paper, we explore the relationship between the visibility range of robots and the solvability of the uniform deployment problem. First, we characterize solvable and unsolvable initial configurations under the assumption that robots have an infinite visibility range. Next, we demonstrate that visibility range 1 (meaning robots can only observe nodes at a distance of 1 and the robots positioned on them) is insufficient, proving the impossibility of solving the problem under this constraint. Conversely, we show that visibility range Θ(log n) is sufficient by presenting an algorithm that solves the uniform deployment problem in O(1) rounds, starting from any solvable initial configuration. Finally, we briefly introduce an example showing that robots with a constant visibility range (which is 3 in this example) cannot solve the problem in a native way.

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Publication Details

Journal
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Published
2026-01-01
DOI
https://doi.org/10.4230/lipics.opodis.2025.34
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
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article

Uniform Deployment of Mobile Robots in Complete Bipartite Graphs

Ryota Eguchi, Junya Nakamura, Naoki Kitamura, Sébastien Tixeuil et al.
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Optimization and Search Problems
article

Uniform Deployment of Mobile Robots in Complete Bipartite Graphs

Ryota Eguchi, Junya Nakamura, Naoki Kitamura, Sébastien Tixeuil, Toshimitsu Masuzawa, Yoshiaki Katayama, Masahiro Shibata, Yuichi Sudo, Yonghwan Kim, Quentin Bramas
article en

Abstract

In this paper, we address the problem of uniformly deploying mobile robots in complete bipartite graphs. Specifically, when n robots are positioned arbitrarily at distinct nodes in a complete bipartite graph K_{n,n}, which consists of two n-node sets V_L and V_R, the uniform deployment problem requires the robots to achieve one of the following configurations: (a) each node in V_L is occupied by exactly one robot, with no robots in V_R, or (b) each node in V_R is occupied by exactly one robot, with no robots in V_L. In either configuration, the distance between any two robots is 2, ensuring that the robots are uniformly deployed. In this paper, we explore the relationship between the visibility range of robots and the solvability of the uniform deployment problem. First, we characterize solvable and unsolvable initial configurations under the assumption that robots have an infinite visibility range. Next, we demonstrate that visibility range 1 (meaning robots can only observe nodes at a distance of 1 and the robots positioned on them) is insufficient, proving the impossibility of solving the problem under this constraint. Conversely, we show that visibility range Θ(log n) is sufficient by presenting an algorithm that solves the uniform deployment problem in O(1) rounds, starting from any solvable initial configuration. Finally, we briefly introduce an example showing that robots with a constant visibility range (which is 3 in this example) cannot solve the problem in a native way.

Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Centre National de la Recherche Scientifique (FR), Toyohashi University of Technology (JP), Nagoya Institute of Technology (JP), Hosei University (JP), Kyushu Institute of Technology (JP), Notre Dame Seishin University (JP), Sorbonne Université (FR), LIP6 (FR), Université de Strasbourg (FR), Nara Institute of Science and Technology (JP)
Openalex Percentile: Top 97%
Optimization and Search Problems
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