A laser-guided docking method for differential drive mobile robot fusing camera and sensors

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

Abstract

A novel laser-guided docking method for differential drive mobile robots is proposed, aimed at small robots with limited computational power. Traditional docking methods, such as those employing ArUco marker pose estimation, often require significant processing capabilities, making them unsuitable for low-cost, resource-constrained robots. In the proposed method, a laser beam is emitted from the docking station to guide the robot, which uses a simple camera to detect the beam. Upon detection, the robot approaches the beam location and then rotates to identify the docking station's marker. Final alignment and docking are achieved using line sensors, ensuring precision and reliability. Computational demands are reduced while maintaining high docking accuracy. The effectiveness of the proposed method is demonstrated through experimental results, indicating its viability for small mobile robots in various applications. Finally experimental analysis identified parameters upon which success of the docking using the proposed algorithm depends.

Original languageEnglish
Title of host publication2024 17th International Conference on Sensing Technology (ICST)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages279-284
Number of pages6
ISBN (Electronic)9798350374827
ISBN (Print)9798350374834
DOIs
Publication statusPublished - 2024
Event17th International Conference on Sensing Technology, ICST 2024 - Sydney, Australia
Duration: 9 Dec 202411 Dec 2024

Publication series

Name
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Conference

Conference17th International Conference on Sensing Technology, ICST 2024
Country/TerritoryAustralia
CitySydney
Period9/12/2411/12/24

Keywords

  • differential drive
  • ArUco
  • mobile robot
  • algorithm
  • precision
  • detection
  • alignment

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