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Automating Active Stereo Vision Calibration Process with Cobots

Abdulla Mohamed, Phil F. Culverhouse, Ricardo De Azambuja, Angelo Cangelosi, Chenguang Yang

IFAC-PapersOnLine, Volume: 50, Issue: 2, Pages: 163 - 168

Swansea University Author: Chenguang Yang

Abstract

Collaborative robots help the academia and industry to accelerate the work by introducing a new concept of cooperation between human and robot. In this paper, a calibration process for an active stereo vision rig has been automated to accelerate the task and improve the quality of the calibration. A...

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Published in: IFAC-PapersOnLine
ISSN: 24058963
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa38076
first_indexed 2018-01-12T20:10:09Z
last_indexed 2018-03-06T14:12:31Z
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spelling 2018-03-06T12:43:49.4251527 v2 38076 2018-01-12 Automating Active Stereo Vision Calibration Process with Cobots d2a5024448bfac00a9b3890a8404380b Chenguang Yang Chenguang Yang true false 2018-01-12 Collaborative robots help the academia and industry to accelerate the work by introducing a new concept of cooperation between human and robot. In this paper, a calibration process for an active stereo vision rig has been automated to accelerate the task and improve the quality of the calibration. As illustrated in this paper by using Baxter Robot, the calibration process has been done faster by three times in comparison to the manual calibration that depends on the human. The quality of the calibration was improved by 120% when the Baxter robot was used. Journal Article IFAC-PapersOnLine 50 2 163 168 24058963 Robotic systems; collaborative robot; active stereo vision; calibration 31 12 2017 2017-12-31 10.1016/j.ifacol.2017.12.030 COLLEGE NANME COLLEGE CODE Swansea University 2018-03-06T12:43:49.4251527 2018-01-12T15:33:12.5195805 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Abdulla Mohamed 1 Phil F. Culverhouse 2 Ricardo De Azambuja 3 Angelo Cangelosi 4 Chenguang Yang 5 0038076-15012018085131.pdf mohamed2017.pdf 2018-01-15T08:51:31.4200000 Output 1009067 application/pdf Accepted Manuscript true 2018-01-15T00:00:00.0000000 true eng
title Automating Active Stereo Vision Calibration Process with Cobots
spellingShingle Automating Active Stereo Vision Calibration Process with Cobots
Chenguang Yang
title_short Automating Active Stereo Vision Calibration Process with Cobots
title_full Automating Active Stereo Vision Calibration Process with Cobots
title_fullStr Automating Active Stereo Vision Calibration Process with Cobots
title_full_unstemmed Automating Active Stereo Vision Calibration Process with Cobots
title_sort Automating Active Stereo Vision Calibration Process with Cobots
author_id_str_mv d2a5024448bfac00a9b3890a8404380b
author_id_fullname_str_mv d2a5024448bfac00a9b3890a8404380b_***_Chenguang Yang
author Chenguang Yang
author2 Abdulla Mohamed
Phil F. Culverhouse
Ricardo De Azambuja
Angelo Cangelosi
Chenguang Yang
format Journal article
container_title IFAC-PapersOnLine
container_volume 50
container_issue 2
container_start_page 163
publishDate 2017
institution Swansea University
issn 24058963
doi_str_mv 10.1016/j.ifacol.2017.12.030
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
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description Collaborative robots help the academia and industry to accelerate the work by introducing a new concept of cooperation between human and robot. In this paper, a calibration process for an active stereo vision rig has been automated to accelerate the task and improve the quality of the calibration. As illustrated in this paper by using Baxter Robot, the calibration process has been done faster by three times in comparison to the manual calibration that depends on the human. The quality of the calibration was improved by 120% when the Baxter robot was used.
published_date 2017-12-31T04:15:35Z
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