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
![[img]](http://eprints.uthm.edu.my/style/images/fileicons/text.png) |
Text
AJ 2018 (720) Robotic arm system with computer vision for colour object.pdf Restricted to Registered users only Download (1MB) | Request a copy |
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Robotic Arm; Image Processing Technique; Forward Kinematic; Denavit-Hartenberg Algorithm; Modified Flower Pollination Algorithm |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) |
| Divisions: | Faculty of Mechanical and Manufacturing Engineering > Department of Mechanical Engineering |
| Depositing User: | UiTM Student Praktikal |
| Date Deposited: | 21 Nov 2021 07:04 |
| Last Modified: | 21 Nov 2021 07:04 |
| URI: | http://eprints.uthm.edu.my/id/eprint/3679 |
Actions (login required)
 |
View Item |