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

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
id 2-s2.0-84941955237
spelling 2-s2.0-84941955237
Abdullah S.C.; Fikri M.A.; Low C.Y.
3rd passive joint position angle validationon 3r under-actuated robot arm
2015
Jurnal Teknologi
76
4
10.11113/jt.v76.5493
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941955237&doi=10.11113%2fjt.v76.5493&partnerID=40&md5=691c06773c7ec8301bbff5597c507eda
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.
Penerbit UTM Press
1279696
English
Article
All Open Access; Bronze Open Access
author Abdullah S.C.; Fikri M.A.; Low C.Y.
spellingShingle Abdullah S.C.; Fikri M.A.; Low C.Y.
3rd passive joint position angle validationon 3r under-actuated robot arm
author_facet Abdullah S.C.; Fikri M.A.; Low C.Y.
author_sort Abdullah S.C.; Fikri M.A.; Low C.Y.
title 3rd passive joint position angle validationon 3r under-actuated robot arm
title_short 3rd passive joint position angle validationon 3r under-actuated robot arm
title_full 3rd passive joint position angle validationon 3r under-actuated robot arm
title_fullStr 3rd passive joint position angle validationon 3r under-actuated robot arm
title_full_unstemmed 3rd passive joint position angle validationon 3r under-actuated robot arm
title_sort 3rd passive joint position angle validationon 3r under-actuated robot arm
publishDate 2015
container_title Jurnal Teknologi
container_volume 76
container_issue 4
doi_str_mv 10.11113/jt.v76.5493
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941955237&doi=10.11113%2fjt.v76.5493&partnerID=40&md5=691c06773c7ec8301bbff5597c507eda
description 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.
publisher Penerbit UTM Press
issn 1279696
language English
format Article
accesstype All Open Access; Bronze Open Access
record_format scopus
collection Scopus
_version_ 1809677608387870720

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