@inproceedings{a0171e2954334b7383e5b72ce81f2a60,
title = "Neural network implementation for invers kinematic model of arm drawing robot",
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.",
keywords = "Neural Network Backpropagation, arm robot, invers kinematic",
author = "Putra, {R. Y.} and S. Kautsar and Adhitya, {R. Y.} and Mat Syai'In and N. Rinanto and Ii Munadhif and Sarena, {S. T.} and J. Endrasmono and Adi Soeprijanto",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 1st International Symposium on Electronics and Smart Devices, ISESD 2016 ; Conference date: 29-11-2016 Through 30-11-2016",
year = "2017",
month = mar,
day = "24",
doi = "10.1109/ISESD.2016.7886710",
language = "English",
series = "2016 International Symposium on Electronics and Smart Devices, ISESD 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "153--157",
booktitle = "2016 International Symposium on Electronics and Smart Devices, ISESD 2016",
address = "United States",
}