TY - GEN
T1 - Technology of Mobile Robot Localization Assisted byQRCodes
AU - Wang, Yumeng
AU - Zhou, Qiang
AU - Li, Honglin
AU - Yue, Haosong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - QR code
KW - laser SLAM
KW - localization
KW - mobile robot
UR - https://www.scopus.com/pages/publications/105003239198
U2 - 10.1109/IARCE64300.2024.00031
DO - 10.1109/IARCE64300.2024.00031
M3 - 会议稿件
AN - SCOPUS:105003239198
T3 - Proceedings - 2024 4th International Conference on Industrial Automation, Robotics and Control Engineering, IARCE 2024
SP - 123
EP - 126
BT - Proceedings - 2024 4th International Conference on Industrial Automation, Robotics and Control Engineering, IARCE 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Industrial Automation, Robotics and Control Engineering, IARCE 2024
Y2 - 15 November 2024 through 17 November 2024
ER -