Robotic arm system with computer vision for colour object Sorting
This study presents the development of robotic arm with computer vision functionalities to recognise the objects with different colours, pick up the nearest target object and place it into particular location. In this paper, the overview of the robotic arm system is first pre-sented. Then, the desig...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publishing Corporation
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/3679/ http://eprints.uthm.edu.my/3679/1/AJ%202018%20%28720%29%20Robotic%20arm%20system%20with%20computer%20vision%20for%20colour%20object.pdf |
| _version_ | 1848888086025469952 |
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| author | Meng, Ong Kok Pauline, Ong Soong, Low Ee Kiong, Sia Chee |
| author_facet | Meng, Ong Kok Pauline, Ong Soong, Low Ee Kiong, Sia Chee |
| author_sort | Meng, Ong Kok |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | This study presents the development of robotic arm with computer vision functionalities to recognise the objects with different colours, pick up the nearest target object and place it into particular location. In this paper, the overview of the robotic arm system is first pre-sented. Then, the design of five-degrees of freedom (5-DOF) robotic arm is introduced, followed by the explanation of the image proc-essing technique used to recognize the objects with different colours and obstacle detection. Next, the forward kinematic modelling of the robotic arm using Denavit-Hartenberg algorithm and solving the inverse kinematic of the robotic arm using modified flower pollination algorithm (MFPA) are interpreted. The result shows that the robotic arm can pick the target object accurately and place it in its particular place successfully. The concern on user safety is also been taken into consideration where the robotic arm will stop working when the user hand (obstacle) is detected and resume its process when there is no obstacle. |
| first_indexed | 2025-11-15T20:04:41Z |
| format | Article |
| id | uthm-3679 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:04:41Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-36792021-11-21T07:04:44Z http://eprints.uthm.edu.my/3679/ Robotic arm system with computer vision for colour object Sorting Meng, Ong Kok Pauline, Ong Soong, Low Ee Kiong, Sia Chee TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) This study presents the development of robotic arm with computer vision functionalities to recognise the objects with different colours, pick up the nearest target object and place it into particular location. In this paper, the overview of the robotic arm system is first pre-sented. Then, the design of five-degrees of freedom (5-DOF) robotic arm is introduced, followed by the explanation of the image proc-essing technique used to recognize the objects with different colours and obstacle detection. Next, the forward kinematic modelling of the robotic arm using Denavit-Hartenberg algorithm and solving the inverse kinematic of the robotic arm using modified flower pollination algorithm (MFPA) are interpreted. The result shows that the robotic arm can pick the target object accurately and place it in its particular place successfully. The concern on user safety is also been taken into consideration where the robotic arm will stop working when the user hand (obstacle) is detected and resume its process when there is no obstacle. Science Publishing Corporation 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/3679/1/AJ%202018%20%28720%29%20Robotic%20arm%20system%20with%20computer%20vision%20for%20colour%20object.pdf Meng, Ong Kok and Pauline, Ong and Soong, Low Ee and Kiong, Sia Chee (2018) Robotic arm system with computer vision for colour object Sorting. International Journal of Engineering & Technology, 7 (4.27). pp. 50-56. ISSN 222-7524X |
| spellingShingle | TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) Meng, Ong Kok Pauline, Ong Soong, Low Ee Kiong, Sia Chee Robotic arm system with computer vision for colour object Sorting |
| title | Robotic arm system with computer vision for colour object
Sorting |
| title_full | Robotic arm system with computer vision for colour object
Sorting |
| title_fullStr | Robotic arm system with computer vision for colour object
Sorting |
| title_full_unstemmed | Robotic arm system with computer vision for colour object
Sorting |
| title_short | Robotic arm system with computer vision for colour object
Sorting |
| title_sort | robotic arm system with computer vision for colour object
sorting |
| topic | TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) |
| url | http://eprints.uthm.edu.my/3679/ http://eprints.uthm.edu.my/3679/1/AJ%202018%20%28720%29%20Robotic%20arm%20system%20with%20computer%20vision%20for%20colour%20object.pdf |