ROS 2 Configuration for Delta Robot Arm Kinematic Motion and Stereo Camera Visualization

K. Saipullah, Wira Hidayat Mohd Saad, Sook Hui Chong, Muhammad Idzdihar Idris, Syafeeza Ahmad Radzi
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引用次数: 1

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.
Delta机械臂运动学运动的ROS 2配置及立体摄像机可视化
德尔塔机器人是用于农业和工业应用的机器人类型之一。然而,在机器人复杂的物理开发之前,需要进行仿真开发,以确保设计的完美功能。因此,本文提出了一种基于机器人操作系统2 (ROS 2)环境和立体摄像机可视化的平行delta机器人仿真开发方法。本研究的贡献在于展示了开发的细节以及针对开发过程中遇到的问题提出的解决方案。提出了可扩展标记语言(XML)、统一机器人描述格式(URDF)和仿真描述格式(SDF)格式脚本的开发,用于描述机器人的物理结构,允许机器人系统以树状结构进行描述,并定义由闭环运动链连杆组成的delta机器人手臂,将在Gazebo中进行仿真。针对结果,对几个Gazebo插件库进行了车轮运动控制、立体摄像机可视化和delta机器人手臂运动的比较和测试。从实验结果来看,选择逆运动学方法是最佳的方法,并将其应用于仿真。所选方法对每个关节的平均百分比误差分别为3.92%、3.72%和2.92%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
6.30
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