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Brief Announcement: Collision Detection for Modular Robots – It Is Easy to Cause Collisions and Hard to Avoid Them

  • Siddharth Gupta
  • , Marc van Kreveld
  • , Othon Michail
  • , Andreas Padalkin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We consider geometric collision-detection problems for modular reconfigurable robots. Assuming the nodes (modules) are connected squares on a grid, we investigate the complexity of deciding whether collisions may occur, or can be avoided, if a set of expansion and contraction operations is executed. We study both discrete- and continuous-time models, and allow operations to be coupled into a single parallel group. Our algorithms to decide if a collision may occur run in O(n2 log2 n) time, O(n2) time, or O(nlog2 n) time, depending on the presence and type of coupled operations, in a continuous-time model for a modular robot with n nodes. To decide if collisions can be avoided, we show that a very restricted version is already NP-complete in the discrete-time model, while the same problem is polynomial in the continuous-time model. A less restricted version is NP-hard in the continuous-time model.

Original languageEnglish
Title of host publication3rd Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2024
EditorsArnaud Casteigts, Fabian Kuhn
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959773157
DOIs
StatePublished - 1 Jun 2024
Externally publishedYes
Event3rd Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2024 - Patras, Greece
Duration: 5 Jun 20247 Jun 2024

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume292
ISSN (Print)1868-8969

Conference

Conference3rd Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2024
Country/TerritoryGreece
CityPatras
Period5/06/247/06/24

Keywords

  • Collision detection
  • Complexity
  • Computational Geometry
  • Modular robots

ASJC Scopus subject areas

  • Software

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