A perceptive vision-based robotic system control to increase radiation safety
Joint Authors
Rumman, Majdi Rauf
Rustum, Mustafa
Ibrahim, Khalid
Source
Arab Journal of Nuclear Sciences and Applications
Issue
Vol. 52, Issue 4 (31 Oct. 2019), pp.218-227, 10 p.
Publisher
The Egyptian Society of Nuclear Science and Applications
Publication Date
2019-10-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Controlling robots in hazardous working areas such as nuclear and radioactive spaces is a very hard mission where the operator is not in direct contact with the robot.the current research presents aperceptive Vision-based offline programming assisted by visual cues to intuitively (re)program robots and gives the operator the feeling of realism as if being existent in the working area.
Picking and placing task is the target application where the position and orientation areestimated,and virtual graphics augmented on the image to provide the operator with virtual feedback.
the workspace is monitored using a stereo camera which sends images to the pc for image processing.
an experiment has been conducted using A 6 DOF arm robot to validate and evaluate the proposed methodandresults are compared with real measurements for error estimation.the algorithm has been applied using MATLAB/SIMULINK program to show the validity of the proposed system and prove its success.
American Psychological Association (APA)
Ibrahim, Khalid& Rumman, Majdi Rauf& Rustum, Mustafa. 2019. A perceptive vision-based robotic system control to increase radiation safety. Arab Journal of Nuclear Sciences and Applications،Vol. 52, no. 4, pp.218-227.
https://search.emarefa.net/detail/BIM-903452
Modern Language Association (MLA)
Ibrahim, Khalid…[et al.]. A perceptive vision-based robotic system control to increase radiation safety. Arab Journal of Nuclear Sciences and Applications Vol. 52, no. 4 (Oct. 2019), pp.218-227.
https://search.emarefa.net/detail/BIM-903452
American Medical Association (AMA)
Ibrahim, Khalid& Rumman, Majdi Rauf& Rustum, Mustafa. A perceptive vision-based robotic system control to increase radiation safety. Arab Journal of Nuclear Sciences and Applications. 2019. Vol. 52, no. 4, pp.218-227.
https://search.emarefa.net/detail/BIM-903452
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 226-227
Record ID
BIM-903452