Department of Mechanical and Mechatronic Engineering, National Taiwan Ocean University, Keelung, Taiwan.
Sci Prog. 2023 Apr-Jun;106(2):368504231172667. doi: 10.1177/00368504231172667.
The replacement of humans by machines has gradually become a technological trend. In this study, a dual robotic arm was used in the belt conveyor operation system to track the screw and nut assembly using mutual visual tracking and positioning technology. Moreover, this study simulated the automatic assembly process using a dual robotic arm in a smart factory. An inverse kinematics operation was constructed using a geometric method to control the dual robotic arm to track the screw and nut assembly on the conveyor belt in real time using mutual visual tracking and positioning technology based on a single-lens charge-coupled device of a robotic arm. This study utilized a dual robotic arm to grab the screw and nut using fuzzy visual tracking control. After completing the grabbing of the screw and nut with tracking and positioning errors of 8%, the dual robotic arms continued to complete the assembly of the screw and nut. Therefore, through the establishment technology of mutual visual tracking and positioning of the dual robotic arm in this study, assembly tasks can be efficiently completed in related fields in the future.
机器取代人类已逐渐成为一种技术趋势。本研究在带式输送机作业系统中使用双臂机器人,利用相互视觉跟踪和定位技术对螺丝和螺母组件进行跟踪。此外,本研究在智能工厂中使用双臂机器人模拟自动装配过程。使用几何方法构建逆运动学操作,以控制双臂机器人实时跟踪输送带上的螺丝和螺母组件,该操作基于机器人的单镜头电荷耦合器件,采用相互视觉跟踪和定位技术。本研究使用模糊视觉跟踪控制来抓取螺丝和螺母。在完成跟踪和定位误差为 8%的螺丝和螺母抓取后,双臂机器人继续完成螺丝和螺母的装配。因此,通过本研究中双臂机器人的相互视觉跟踪和定位建立技术,未来可以在相关领域高效完成装配任务。