Image guided autonomous grasping and manipulation for valve turning

Shafiqul Islam, Amar Salah, Jorge Dias

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we implement and evaluate image guided visual tracking system for autonomous grasping and manipulation for valve turning applications. The first part of this paper tries to collect the results reached by the researcher and industrial community so far within the field of image guided autonomous manipulation from the technological and control point of view. Then, we present detailed design process and steps of the image guided visual tracking systems. Finally, we present implementation results of the image based visual tracking system for autonomous grasping and manipulation on a 6-DOF UR5 mobile manipulator for valve turning applications.

Original languageBritish English
Title of host publication2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2097-2102
Number of pages6
ISBN (Electronic)9781728167947
DOIs
StatePublished - Jul 2020
Event2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020 - Boston, United States
Duration: 6 Jul 20209 Jul 2020

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2020-July

Conference

Conference2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
Country/TerritoryUnited States
CityBoston
Period6/07/209/07/20

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