Neural network implementation for invers kinematic model of arm drawing robot

R. Y. Putra, S. Kautsar, R. Y. Adhitya, Mat Syai'In, N. Rinanto, Ii Munadhif, S. T. Sarena, J. Endrasmono, Adi Soeprijanto

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

31 Citations (Scopus)

Abstract

Nowadays, the research in robotics field is growing. One of the studies in robotics is the control method of the robotic arm movement. In this research, a 3 DOF arm drawing robot was built. An inverse kinematic models of the robot arm is made using artificial neural network method. Artificial neural network model was implemented in a GUI application. The ANN model can work in real-time to control arm robot movement to reach certain coordinates. Based on test results, the inverse kinematic models of the arm drawing robot had an error rate under 2%. It is of 0.16% for X coordinate and 0.46% for Y coordinate.

Original languageEnglish
Title of host publication2016 International Symposium on Electronics and Smart Devices, ISESD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages153-157
Number of pages5
ISBN (Electronic)9781509038404
DOIs
Publication statusPublished - 24 Mar 2017
Event1st International Symposium on Electronics and Smart Devices, ISESD 2016 - Bandung, Indonesia
Duration: 29 Nov 201630 Nov 2016

Publication series

Name2016 International Symposium on Electronics and Smart Devices, ISESD 2016

Conference

Conference1st International Symposium on Electronics and Smart Devices, ISESD 2016
Country/TerritoryIndonesia
CityBandung
Period29/11/1630/11/16

Keywords

  • Neural Network Backpropagation
  • arm robot
  • invers kinematic

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