Wu Zai-Gen, Lin Chao-Yi, Chang Hao-Wei, Lin Po Ting
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.
Center for Cyber-Physical System Innovation, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.
Sensors (Basel). 2020 May 26;20(11):3008. doi: 10.3390/s20113008.
Robots are essential for the rapid development of Industry 4.0. In order to truly achieve autonomous robot control in customizable production lines, robots need to be accurate enough and capable of recognizing the geometry and orientation of an arbitrarily shaped object. This paper presents a method of inline inspection with an industrial robot (IIIR) for mass-customization production lines. A 3D scanner was used to capture the geometry and orientation of the object to be inspected. As the object entered the working range of the robot, the end effector moved along with the object and the camera installed at the end effector performed the requested optical inspections. The detailed information about the developed methodology was introduced in this paper. The experiments showed there was a relative movement between the moving object and the following camera and the speed was around 0.34 mm per second (worst case was around 0.94 mm per second). For a camera of 60 frames per second, the relative moving speed between the object and the camera was around 6 micron (around 16 micron for the worst case), which was stable enough for most industrial production inspections.
机器人对于工业4.0的快速发展至关重要。为了在可定制生产线中真正实现机器人自主控制,机器人需要足够精确,并能够识别任意形状物体的几何形状和方向。本文提出了一种用于大规模定制生产线的工业机器人在线检测方法(IIIR)。使用3D扫描仪获取待检测物体的几何形状和方向。当物体进入机器人的工作范围时,末端执行器随物体移动,安装在末端执行器上的相机进行所需的光学检测。本文介绍了所开发方法的详细信息。实验表明,移动物体与跟随相机之间存在相对运动,速度约为每秒0.34毫米(最坏情况约为每秒0.94毫米)。对于每秒60帧的相机,物体与相机之间的相对移动速度约为6微米(最坏情况约为16微米),这对于大多数工业生产检测来说足够稳定。