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Design and Control of an Intelligent Robot System for Metro Bottom Inspection

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  • First Online:
Intelligent Robotics (CIRAC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1770))

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Abstract

To replace the manual work on the daily inspection of critical components of the metro bottom, such as the loose bolts, cracks, foreign bodies, and bogies. We propose a design and control method for an intelligent inspection robot that has been developed. The paper mainly introduces the technical approach from the overall structure design and system software and hardware design of the inspection robot and emphasizes the system integration method of the robot system design and control. The designed inspection robot can autonomously move between the inspection trenches according to the planned path, conduct the autonomous inspection of the metro bottom with a lateral guide and return exceptional conditions and positions, and purge the dust on the inspection location. In addition, users can view the running status and inspection results of the inspection robot in real-time through the remote control center.

Supported by NSFC-Shenzhen Robot Basic Research Center project (U2013204) and SIAT-CUHK Joint Laboratory of Precision Engineering.

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References

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Author information

Authors and Affiliations

  1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China

    Wei Zhou, Juntai Zhang, Yuan Ji, Qiyang Zuo & Kai He

  2. College of Mechanical Engineering, Yanshan University, Qinhuangdao, 066004, China

    Wei Zhou

  3. Shenzhen Key Laboratory of Precision Engineering, Shenzhen, 518055, China

    Juntai Zhang, Yuan Ji, Qiyang Zuo & Kai He

Authors
  1. Wei Zhou
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  2. Juntai Zhang
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  3. Yuan Ji
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  4. Qiyang Zuo
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  5. Kai He
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Corresponding author

Correspondence to Kai He .

Editor information

Editors and Affiliations

  1. Harbin Engineering University, Harbin, China

    Zhiwen Yu

  2. Xi’an University of Technology, Xi’an, China

    Xinhong Hei

  3. Beijing University of Posts and Telecommunications, Beijing, China

    Duanling Li

  4. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  5. National Academy of Guo Ding Institute of Data Science, Beijing, China

    Zeguang Lu

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Zhou, W., Zhang, J., Ji, Y., Zuo, Q., He, K. (2023). Design and Control of an Intelligent Robot System for Metro Bottom Inspection. In: Yu, Z., Hei, X., Li, D., Song, X., Lu, Z. (eds) Intelligent Robotics. CIRAC 2022. Communications in Computer and Information Science, vol 1770. Springer, Singapore. https://doi.org/10.1007/978-981-99-0301-6_5

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  • DOI: https://doi.org/10.1007/978-981-99-0301-6_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-0300-9

  • Online ISBN: 978-981-99-0301-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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