Skip to main content
SpringerLink
Log in

Development of a Robot System for Cleaning Sludge in Industrial Site

  • Conference paper
  • First Online:
Robot Intelligence Technology and Applications 7 (RiTA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 642))

  • 785 Accesses

Abstract

Recently, the development of unmanned robots for work support that can minimize the risk factors of workers in harsh work and special environments where access is difficult is being actively carried out in the industrial field. This development is a cleaning robot that is put in to discharge the sludge accumulated on the bottom of the pollutant storage tank in the wastewater tank or sewage tank to the outside. In supporting the work, this robot is applied with obstacle avoidance technology that turns obstacles during path movement, as well as a function of following a path to specify or predict a work path for autonomous work.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Nof, S.Y.: Handbook of Industrial Robotics, 2nd edn., pp. 3–5. Wiley (1999). ISBN: 0-471-17783-0

    Google Scholar 

  2. Trevelyan, J.P., Kang, S.C., Hamel, W.R.: Robotics in hazardous applications. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 1101–1126. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-30301-5_49

    Chapter  Google Scholar 

  3. Ren, T., Zhang, Y., Li, Y., Chen, Y., Liu, Q.: Driving mechanisms, motion, and mechanics of screw drive in-pipe robots: a review. Appl. Sci. 9(12), 2514 (2019). https://doi.org/10.3390/app9122514

    Article  Google Scholar 

  4. Lee, K., Jeon, S., Kum, D.: Autonomous vehicle path tracking control: considering real-time localization and path planning characteristics. Workshop, pp. 36–37 (2019)

    Google Scholar 

  5. Song, H., Lee, K., Kim, D.H.: Implementation of an obstacle avoidance system based on a low-cost LiDAR sensor for autonomous navigation of an unmanned ship. Trans. Korean Inst. Electr. Eng. 68(3), 480–488 (2019)

    Article  Google Scholar 

Download references

Acknowledgment

This work was partly supported by the Technological Innovation R&D Program (S3264239) funded by the Ministry of SMEs and Startups, and the Technological Innovation R&D Program (S3154675) funded by the Ministry of SMEs and Startups (MSS, Korea).

Author information

Authors and Affiliations

  1. Shinjeong Development Co., Ltd., 27, Bonggye 2-gil, Yeosu, 59631, South Korea

    J. G. Hur

  2. Department of Computer Engineering, Chonnam National University, Yeosu, 59626, South Korea

    Chang Gyoon Lim

  3. Major in Electronic Commerce, Chonnam National University, Yeosu, 59626, South Korea

    Yong Min Kim

Authors
  1. J. G. Hur
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chang Gyoon Lim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yong Min Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yong Min Kim .

Editor information

Editors and Affiliations

  1. School of Information and Communication Technology, Griffith University, Southport, Australia

    Jun Jo

  2. Department of Aerospace Engineering, KAIST, Daejeon, Korea (Republic of)

    Han-Lim Choi

  3. School of Information and Communication Technology, Griffith University, Southport, Australia

    Marde Helbig

  4. Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea (Republic of)

    Hyondong Oh

  5. Department of Mechanical Engineering, KAIST, Daejeon, Korea (Republic of)

    Jemin Hwangbo

  6. Department of Mechanical Engineering, KAIST, Daejeon, Korea (Republic of)

    Chang-Hun Lee

  7. School of Information and Communication Technology, Griffith University, Southport, Australia

    Bela Stantic

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hur, J.G., Lim, C.G., Kim, Y.M. (2023). Development of a Robot System for Cleaning Sludge in Industrial Site. In: Jo, J., et al. Robot Intelligence Technology and Applications 7. RiTA 2022. Lecture Notes in Networks and Systems, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-031-26889-2_31

Download citation

Publish with us

Policies and ethics

Search

Navigation