Stereo vision system for a bin picking adept robot

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Main Authors: Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Ramachandran, Nagarajan, Sazali, Yaacob
Format: Article
Language:English
Published: Universiti Malaya 2009
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6899
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spelling my.unimap-68992009-12-11T04:08:01Z Stereo vision system for a bin picking adept robot Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Ramachandran, Nagarajan Sazali, Yaacob Bin picking robots Neural networks (Computer science) Segmentation Stereo image processing Stereo vision Robotics Robots -- Design and construction Link to publisher's homepage at http://ejum.fsktm.um.edu.my In bin picking applications, robots are required to pick up an object from a pile of stacked or scattered objects placed in a bin. To perform such tasks, identification of the objects to be picked using a vision system is indispensable. In this paper, a stereo vision based automated bin picking system is proposed which identifies the topmost object from a pile of occluded objects and computes its location. The proposed bin picking process consists of two modules namely object segmentation module and object localization module. In the segmentation module, an 'Acclimatized Top Object Threshold' [ATOT] algorithm is proposed for segmentation of topmost object and in the localization module, the location of the object is estimated by computing the 'x', 'y', 'z' co-ordinates of the object midpoint using a unified stereo imaging algorithm. The validity of the algorithms is experimentally verified for object pick and place operations using the object location co-ordinates. The developed stereo vision system was implemented and validated for bin pick and place operations on an Adept Cobra 600 Robot. 2009-08-14T03:56:21Z 2009-08-14T03:56:21Z 2007 Article Malaysian Journal of Computer Science, vol.20 (1), 2007, pages 91-98. 0127-9084 http://ejum.fsktm.um.edu.my/VolumeListing.aspx?JournalID=4 http://hdl.handle.net/123456789/6899 en Universiti Malaya
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bin picking robots
Neural networks (Computer science)
Segmentation
Stereo image processing
Stereo vision
Robotics
Robots -- Design and construction
spellingShingle Bin picking robots
Neural networks (Computer science)
Segmentation
Stereo image processing
Stereo vision
Robotics
Robots -- Design and construction
Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesapandian
Ramachandran, Nagarajan
Sazali, Yaacob
Stereo vision system for a bin picking adept robot
description Link to publisher's homepage at http://ejum.fsktm.um.edu.my
format Article
author Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesapandian
Ramachandran, Nagarajan
Sazali, Yaacob
author_facet Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesapandian
Ramachandran, Nagarajan
Sazali, Yaacob
author_sort Hema, Chengalvarayan Radhakrishnamurthy
title Stereo vision system for a bin picking adept robot
title_short Stereo vision system for a bin picking adept robot
title_full Stereo vision system for a bin picking adept robot
title_fullStr Stereo vision system for a bin picking adept robot
title_full_unstemmed Stereo vision system for a bin picking adept robot
title_sort stereo vision system for a bin picking adept robot
publisher Universiti Malaya
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6899
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score 13.214268