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Implementation of a Self-Balancing Robot Using LEGO EV3 Robotic Kit and EV3DEV

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Published:16 June 2018Publication History

ABSTRACT

This paper discusses an educational project, in which we use LEGO Mindstorms EV3 and embedded programming to implement a self-balancing and line-following robot. In particular, we use the open source EV3DEV programming environment to write Python programs to get data from the sensors and control the motors. The benefit of our approach is that the students can solely focus on implementing the required PID controller and the corresponding parameter tuning, without the need of having to do mechanical and electrical design. We explain in the paper in details about the system setup, software development, and testing and verification. The outcomes of this paper can be very helpful to other educational and research projects that utilize the Lego EV3 robotic kits for learning and discovery purposes.

References

  1. https://www.bostondynamics.com/handleGoogle ScholarGoogle Scholar
  2. https://www.lego.com/en-us/service/help/products/themes-sets/lego-education/differences-between-lego-mindstorms-ev3-home-and-education-editions-408100000007851Google ScholarGoogle Scholar
  3. "Tutorial: Self-Balancing EV3 Robot." Robotsquare, 1 July 2014, http://robotsquare.com/2014/07/01/tutorial-ev3-self-balancing-robot/Google ScholarGoogle Scholar
  4. http://www.robotc.net/Google ScholarGoogle Scholar
  5. www.ev3dev.orgGoogle ScholarGoogle Scholar
  6. "Documentation." ev3devHome, www.ev3dev.org/docs/getting-started/Google ScholarGoogle Scholar
  7. https://mobaxterm.mobatek.net/Google ScholarGoogle Scholar
  8. Nise, N.S., 2015. CONTROL SYSTEMS ENGINEERING, (With CD). 7th edition, John Wiley & Sons Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Implementation of a Self-Balancing Robot Using LEGO EV3 Robotic Kit and EV3DEV

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    • Published in

      cover image ACM Other conferences
      ICAIP '18: Proceedings of the 2nd International Conference on Advances in Image Processing
      June 2018
      261 pages
      ISBN:9781450364607
      DOI:10.1145/3239576

      Copyright © 2018 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 June 2018

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