Preliminary Implementation of Grasping Operation by a Collaborative Robot Arm: Using a Ball as Example

Wen-Chang Cheng, Chien-Hung Lin, Cheng-Yi Shi, Hung-Chou Hsiao, Chun-Lung Chang
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Abstract

Grasping objects is one of the basic functions of a robot arm. This study completed the implementation of the process in which a collaborative robot (cobot) arm grasps an object. Hardware components included a depth camera, cobot arm, and artificial intelligence equipment for edge computing. Software components included computer visualization techniques, deep learning, and robot operating system. To complete the preliminary implementation of the system, the grasping operation of the robot arm was set to target a ball. This system implementation sheds light on how robot arms and deep learning techniques are applied to real-life problems. Experiments verified that the preliminary system implemented was able to correctly complete the ball-grasping operation and achieve the pragmatic goal.
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协作机械臂抓取操作的初步实现:以球为例
抓取物体是机器人手臂的基本功能之一。本研究完成了协作机器人(cobot)手臂抓取物体过程的实施。硬件组件包括深度摄像头、机器人手臂和用于边缘计算的人工智能设备。软件组件包括计算机可视化技术、深度学习和机器人操作系统。为了完成系统的初步实现,机器人手臂的抓取操作被设定为以一个球为目标。该系统的实现揭示了如何将机械臂和深度学习技术应用于实际问题。实验验证了初步实现的系统能够正确完成抓球操作,实现了实用目标。
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