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Study on High-Efficient Derusting Method for Vision-Based Derusting Robot

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Intelligent Robotics and Applications (ICIRA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13015))

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Abstract

In this paper, a new type of high-efficient derusting method for wall-climbing-cleaning robot is proposed in order to surmount the shortcomings of current wall-climbing-cleaning robots. It takes advantage of Open Source Computer Vision Library (OpenCV) to establish a detection system, and uses a development framework called QT to do the experimental analysis. The experimental results show that the system can complete real-time image recognition in the working environment of the wall-climbing cleaning robot, which makes the foundation for the intelligent trajectory planning of the wall-climbing-cleaning robot.

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Acknowledgment

This paper is partially supported by Science and Technology Planning Project of Guangdong Province (2017B090914004), CAS-HK Joint Laboratory of Precision Engineering, and NSFC-Shenzhen Robot Basic Research Center project (U1713224).

Author information

Authors and Affiliations

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

    Shanwei Liao, Haitao Fang & Kai He

  2. Shenzhen Key Laboratory of Precision Engineering, Shenzhen, Guangdong, China

    Shanwei Liao, Haitao Fang & Kai He

  3. Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China

    Kai He

  4. Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China

    Kai He

Authors
  1. Shanwei Liao
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  2. Haitao Fang
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  3. Kai He
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Corresponding author

Correspondence to Shanwei Liao .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Xin-Jun Liu

  2. Tsinghua University, Beijing, China

    Zhenguo Nie

  3. Beihang University, Beijing, China

    Jingjun Yu

  4. Tsinghua University, Beijing, China

    Fugui Xie

  5. Shandong University, Shandong, China

    Rui Song

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Liao, S., Fang, H., He, K. (2021). Study on High-Efficient Derusting Method for Vision-Based Derusting Robot. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13015. Springer, Cham. https://doi.org/10.1007/978-3-030-89134-3_31

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  • DOI: https://doi.org/10.1007/978-3-030-89134-3_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89133-6

  • Online ISBN: 978-3-030-89134-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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