Shortest coordinated motions for square robots

Guillermo Esteban*, Dan Halperin, Rodrigo I. Silveira

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We study the problem of determining minimum-length coordinated motions for two axis-aligned square robots translating in an obstacle-free plane: Given feasible start and goal configurations (feasible in the sense that the two squares are interior disjoint), find a continuous motion for the two squares from start to goal, comprising only robot-robot collision-free configurations, such that the total Euclidean distance traveled by the two squares is minimal among all possible such motions. In this paper we present an adaptation of the tools developed for the case of disks to the case of squares. We show that in certain aspects the case of squares is more complicated, requiring additional and more involved arguments over the case of disks.

Original languageEnglish
Article number14
JournalAutonomous Robots
Volume49
Issue number2
DOIs
StatePublished - Jun 2025

Funding

FundersFunder number
National Science Foundation
Tel Aviv University
Blavatnik Computer Science Research Fund
Israel Science Foundation2261/23, 1736/19
US-Israel-BSF2019754

    Keywords

    • Coordinated motions
    • Geometric algorithms
    • Motion planning

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