DIY 3-DOF Robotic Arm for Teaching and Learning

Muhammad Nor Hakim Kamal Sharin, Norashikin M. Thamrin*, Rozita Jailani, Anwar P. P. Abdul Majeed

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

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.

Original languageEnglish
Title of host publicationRiTA 2020 - Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications
EditorsEsyin Chew, Anwar P. P. Abdul Majeed, Pengcheng Liu, Jon Platts, Hyun Myung, Junmo Kim, Jong-Hwan Kim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages284-295
Number of pages12
ISBN (Print)9789811648021
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020 - Virtual, Online
Duration: 11 Dec 202013 Dec 2020

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020
CityVirtual, Online
Period11/12/2013/12/20

Keywords

  • Educational robotics
  • Robotics in education
  • Teaching assessment
  • Teaching robotics

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