Mohd Saad, Wira Hidayat and Saipullah, Khairul Muzzammil and Chong, Sook Hui and Idris, Muhammad Idzdihar and Ahmad Radzi, Syafeeza (2022) ROS 2 configuration for delta robot arm kinematic motion and stereo camera visualization. Journal of Robotics and Control (JRC), 3 (3). pp. 320-327. ISSN 2715-5056
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ROS 2 CONFIGURATION FOR DELTA ROBOT ARM KINEMATIC MOTION AND STEREO CAMERA VISUALIZATION.PDF Download (3MB) |
Abstract
The Delta robot is one of the robot types that is used in agriculture and industrial application. However, before the complex physical development of the robot, a simulation needs to be developed to ensure the perfect functionality of the design. Therefore, this paper presented a development of simulation for a parallel delta robot using a Robot Operating System 2 (ROS 2) environment and stereo camera visualization. The contribution of this research is to present the development details and the proposed solution to solve issues encountered during the development. The development of script in the format of eXtensible Markup Language (XML), Unified Robot Description Format (URDF), and Simulation Description Format (SDF) are presented for describing a robot's physical structure, allowing a robotic system to be depicted in a tree structure, and defining the delta robot arm, which is made up of closed-loop kinematic chain linkage that will be simulated in Gazebo. For the results, several Gazebo plugin libraries are compared and tested for the wheels motion control, stereo camera visualization, and delta robot arm kinematic motion. From the experiment, the best method is inverse kinematic motion the method is selected and used in the simulation. The selected method resulted in an average percentage error of 3.92%, 3.72%, and 2.92%, respectively for each joint.
Item Type: | Article |
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Uncontrolled Keywords: | ROS2, Delta Robot, Stereo Camera, SDF, Gazebo, Rviz2 |
Divisions: | Faculty of Electronics and Computer Engineering |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 13 Apr 2023 15:26 |
Last Modified: | 13 Apr 2023 15:26 |
URI: | http://eprints.utem.edu.my/id/eprint/26629 |
Statistic Details: | View Download Statistic |
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