Skip to main content

DIY 3-DOF Robotic Arm for Teaching and Learning

  • Conference paper
  • First Online:
RiTA 2020

Abstract

The robotic arm is used in many automated jobs in the industry and education tool in academia. In understanding the robotic arm’s kinematic motion, the simulation of this manipulator must be paired with the real hardware to translate the mathematical formulation to the movement of the electrical and electronic components for the electrical engineering students. However, the price of the complete set of robotic arms with its maintenance cost for educational use can be costly for the whole class or individual experience. Therefore, in this paper, an initiative has been taken to develop a DIY 3-DOF robotic arm to help students understand the theory of this manipulator’s kinematic motion later in the class. The students must initially understand the rotation and the limitations of the servo motor. They can use this limitation later in their simulation to control the movement of the robot manipulator. In the findings, the calibrations and testing of the servo motor’s angular rotation with a simple input from a serial monitor are presented to allow the DIY 3-DOF robotic arm to be used efficiently later in the robotic class as an aided teaching material.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover 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. Bogue, R.: Robots in the nuclear industry: a review of technologies and applications. Ind. Robot: Int. J. (2011)

    Google Scholar 

  2. Avram, O., Valente, A.: Trajectory planning for reconfigurable industrial robots designed to operate in a high precision manufacturing industry. Procedia CIRP 57, 461–466 (2016)

    Article  Google Scholar 

  3. Ries, M.: Robotic Arm. Google Patents (2017)

    Google Scholar 

  4. Dömel, A., et al.: Autonomous pick and place operations in industrial production. In: 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE (2015)

    Google Scholar 

  5. Allman, M.S., et al.: Serial robotic arm joint characterization measurements for antenna metrology. In: AMTA 2017 Proceedings, pp. 381–387 (2017)

    Google Scholar 

  6. Gao, B., et al.: Design and evaluation of a 3-degree-of-freedom upper limb rehabilitation exoskeleton robot. In: 2017 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE (2017)

    Google Scholar 

  7. Sharp, M.E.: Observations on Developing Anomaly Detection Programs with Case Study: Robotic Arm Manipulators (2019)

    Google Scholar 

  8. Jones, P., et al.: High degree of freedom riser tensioner system. Google Patents (2019)

    Google Scholar 

  9. Schwinger, J.: Quantum Kinematics And Dynamic. CRC Press, Boca Raton (2018)

    Book  Google Scholar 

  10. Waldron, K.J., Kinematics, J.S.: In Springer Handbook of Robotics, pp. 11–36. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-03551-2_1

  11. Eriksson, M., Linder, C., Eriksson, U.: Towards understanding learning challenges involving sign conventions in introductory level kinematics. In: Physics Education Research Conference (PERC) 2018. 2018. the Physics Education Research Topical Group (PERTG) and the American

    Google Scholar 

  12. Tiwari, A.K.: Robotics module in enhancing interactive stem education. J. Ravishankar Univ. 32(1), 34–37 (2019)

    Article  Google Scholar 

  13. Ali, R., Bakar, A.: the probability to memorize and understand textbook information: socioeconomic class as the predictor for cognitive processing strategies in pakistani Education system. Pak. J. Soc. Sci. (PJSS), 39(1) (2019)

    Google Scholar 

  14. Gandhi-Lee, E., et al.: Faculty perceptions of student recruitment and retention in STEM fields. Eur. J. STEM Educ. 2(1), 2 (2017)

    Google Scholar 

  15. Botella, F., et al. Teaching the sequential programming concept using a robotic arm in an interactive museum. In: Proceedings of the XX International Conference on Human Computer Interaction (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Norashikin M. Thamrin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kamal Sharin, M.N.H., M. Thamrin, N., Jailani, R., P. P. Abdul Majeed, A. (2021). DIY 3-DOF Robotic Arm for Teaching and Learning. In: Chew, E., et al. RiTA 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4803-8_29

Download citation

Publish with us

Policies and ethics