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Technology of Mobile Robot Localization Assisted byQRCodes

  • Yumeng Wang
  • , Qiang Zhou*
  • , Honglin Li
  • , Haosong Yue
  • *Corresponding author for this work
  • Beihang University

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

Abstract

With the improvement of productivity levels, people's demand for enhanced functionality and expanded application scenarios of mobile robots is increasing. Mobile robots are playing an increasingly critical role in several fields. Ensuring that mobile robots can achieve high-precision localization in various environments has become the basis for its role. However, traditional laser-based localization technologies suffer from significant errors in areas with indistinct environmental features. Firstly, the QR code is deeply studied, including its characteristics, classification and function principle in localization calculation. To address this, a method that utilizes QR codes for assisting in robot localization is proposed. To validate the proposed method, a specific QR code was selected and the key technologies for mobile robot localization were thoroughly studied. The method integrates QR code information using laser-based radar and the Cartographer SLAM algorithm to achieve accurate localization. To verify the research results, a Gazebo simulation platform for mobile robots was established, and the simulations and physical validations of the proposed method were completed. The results show that the QR code assisted localization technology can significantly improve the localization accuracy in the area with not obvious environmental characteristics. Moreover, through the research of mobile robot localization technologies, it has a significant promoting effect on the cultivation of students' engineering practice and innovation ability.

Original languageEnglish
Title of host publicationProceedings - 2024 4th International Conference on Industrial Automation, Robotics and Control Engineering, IARCE 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages123-126
Number of pages4
ISBN (Electronic)9798350380323
DOIs
StatePublished - 2024
Event4th International Conference on Industrial Automation, Robotics and Control Engineering, IARCE 2024 - Chengdu, China
Duration: 15 Nov 202417 Nov 2024

Publication series

NameProceedings - 2024 4th International Conference on Industrial Automation, Robotics and Control Engineering, IARCE 2024

Conference

Conference4th International Conference on Industrial Automation, Robotics and Control Engineering, IARCE 2024
Country/TerritoryChina
CityChengdu
Period15/11/2417/11/24

Keywords

  • QR code
  • laser SLAM
  • localization
  • mobile robot

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