3rd passive joint position angle validationon 3r under-actuated robot arm

Position angle analysis by learning algorithm on robotics is extremely important as a tool for predictive maintenance to detect faults and mechanical problems. This paper presents position angle analysis on passive joint using three rotations (3R) underactuated robot manipulator. Experiment was cond...

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Bibliographic Details
Published in:Jurnal Teknologi
Main Author: Abdullah S.C.; Fikri M.A.; Low C.Y.
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941955237&doi=10.11113%2fjt.v76.5493&partnerID=40&md5=691c06773c7ec8301bbff5597c507eda
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Summary:Position angle analysis by learning algorithm on robotics is extremely important as a tool for predictive maintenance to detect faults and mechanical problems. This paper presents position angle analysis on passive joint using three rotations (3R) underactuated robot manipulator. Experiment was conducted to predict the position angle which were applied to three joint; Active 1, Active 2 and Passive respectively. Experiment by SIMULINK software was carried out to validate the value of position angle obtained during real-time experiment. As a conclusion, the 3rd position angle of passive joint followed the position angle for Active 1 and Active 2. © 2015 Penerbit UTM Press. All rights reserved.
ISSN:1279696
DOI:10.11113/jt.v76.5493