Visual servo algorithm of robot arm for pick and place application
The robot arm is a device consisting of a moving chain of links connected by joints. Electrical motors are frequently used to move each robot arm joint. An end-effector that can move freely in space is usually attached to one end of the robot platform, which is fixed. Robot arms can do repetitive op...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2024
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| Online Access: | http://journalarticle.ukm.my/25376/ http://journalarticle.ukm.my/25376/1/kejut_5.pdf |
| _version_ | 1848816341036826624 |
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| author | Chuah, Zuo Wei Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim, |
| author_facet | Chuah, Zuo Wei Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim, |
| author_sort | Chuah, Zuo Wei |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | The robot arm is a device consisting of a moving chain of links connected by joints. Electrical motors are frequently used to move each robot arm joint. An end-effector that can move freely in space is usually attached to one end of the robot platform, which is fixed. Robot arms can do repetitive operations at rates and precision far exceeding human operators. Nowadays, robot arm systems are widely used worldwide to increase the quality and efficiency of the manufacturing process in the industry. Typical applications of the robot arm system are assembly, painting, welding, pick and place operation, and others. Besides, many industries employ robot arms for various jobs such as selecting and putting, painting, and material handling. However, one of the most challenging issues in completing these jobs is determining the target location of the robot arm’s end-effector. There are two different methods for analyzing the robot arm’s movement: forward and inverse kinematic analysis. Based on the visual servo algorithm, this study uses inverse kinematics to execute the pick and place operation. First, an object recognition algorithm is implemented to identify the object to be grasped. Then, an algorithm to avoid any obstacles is done. The study’s findings show that good system performance has been obtained in all three algorithms: first, object recognition algorithm, second, obstacle avoidance algorithm, and lastly, visual servo-based pick and place operation. Thus, it can be concluded that the robot arm’s visual servo algorithm is suitable for pick-and-place applications. |
| first_indexed | 2025-11-15T01:04:20Z |
| format | Article |
| id | oai:generic.eprints.org:25376 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:04:20Z |
| publishDate | 2024 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:253762025-06-23T07:27:59Z http://journalarticle.ukm.my/25376/ Visual servo algorithm of robot arm for pick and place application Chuah, Zuo Wei Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim, The robot arm is a device consisting of a moving chain of links connected by joints. Electrical motors are frequently used to move each robot arm joint. An end-effector that can move freely in space is usually attached to one end of the robot platform, which is fixed. Robot arms can do repetitive operations at rates and precision far exceeding human operators. Nowadays, robot arm systems are widely used worldwide to increase the quality and efficiency of the manufacturing process in the industry. Typical applications of the robot arm system are assembly, painting, welding, pick and place operation, and others. Besides, many industries employ robot arms for various jobs such as selecting and putting, painting, and material handling. However, one of the most challenging issues in completing these jobs is determining the target location of the robot arm’s end-effector. There are two different methods for analyzing the robot arm’s movement: forward and inverse kinematic analysis. Based on the visual servo algorithm, this study uses inverse kinematics to execute the pick and place operation. First, an object recognition algorithm is implemented to identify the object to be grasped. Then, an algorithm to avoid any obstacles is done. The study’s findings show that good system performance has been obtained in all three algorithms: first, object recognition algorithm, second, obstacle avoidance algorithm, and lastly, visual servo-based pick and place operation. Thus, it can be concluded that the robot arm’s visual servo algorithm is suitable for pick-and-place applications. Penerbit Universiti Kebangsaan Malaysia 2024 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/25376/1/kejut_5.pdf Chuah, Zuo Wei and Mohd Hairi Mohd Zaman, and Mohd Faisal Ibrahim, (2024) Visual servo algorithm of robot arm for pick and place application. Jurnal Kejuruteraan, 36 (3). pp. 891-898. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3603-2024/ |
| spellingShingle | Chuah, Zuo Wei Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim, Visual servo algorithm of robot arm for pick and place application |
| title | Visual servo algorithm of robot arm for pick and place application |
| title_full | Visual servo algorithm of robot arm for pick and place application |
| title_fullStr | Visual servo algorithm of robot arm for pick and place application |
| title_full_unstemmed | Visual servo algorithm of robot arm for pick and place application |
| title_short | Visual servo algorithm of robot arm for pick and place application |
| title_sort | visual servo algorithm of robot arm for pick and place application |
| url | http://journalarticle.ukm.my/25376/ http://journalarticle.ukm.my/25376/ http://journalarticle.ukm.my/25376/1/kejut_5.pdf |