Morsi Nour M, Mata Mario, Harrison Colin S, Semple David
School of Computing and Built Environment, Mechanical Engineering Department, Glasgow Caledonian University, Glasgow, United Kingdom.
School of Computing and Built Environment, Computing Department, Glasgow Caledonian University, Glasgow, United Kingdom.
Front Robot AI. 2024 Jun 27;11:1423319. doi: 10.3389/frobt.2024.1423319. eCollection 2024.
Robotics uptake in the aerospace industry is low, mainly due to the low-volume/high-accuracy production that aerospace manufacturers require. Furthermore, aerospace manufacturing and assembly sites are often unstructured environments not specifically suitable for robots to operate in. This paper introduces a robotic visual inspection system using off-the-shelf components able to inspect the mounting holes for wing slat actuators without the need for fixed-coordinate programming; the part just needs to be left within reach of the robot. Our system sets one of the opposed pairs of mounting holes as a reference (the "datum") and then compares the tilt of all other pairs of mounting holes with respect to it. Under the assumption that any deviation in the mounting hole tilt is not systematic but due to normal manufacturing tolerances, our system will either guarantee the correct alignment of all mounting holes or highlight the existence of misaligned holes. Computer-vision tilt measurements are performed with an error of below 0.03° using custom optimization for the sub-pixel determination of the center and radius of the mounting holes. The error introduced by the robot's motion from the datum to each of the remaining hole pairs is compensated by moving back to the datum and fixing the orientation again before moving to inspect the next hole pair. This error is estimated to be approximately 0.05°, taking the total tilt error estimation for any mounting hole pair to be 0.08° with respect to the datum. This is confirmed by manually measuring the tilt of the hole pairs using a clock gauge on a calibrated table (not used during normal operation).
机器人技术在航空航天工业中的应用率较低,主要原因是航空航天制造商要求的是小批量/高精度生产。此外,航空航天制造和装配场所通常是无结构的环境,不太适合机器人在其中操作。本文介绍了一种使用现成组件的机器人视觉检测系统,该系统能够在无需固定坐标编程的情况下检测翼缝襟翼致动器的安装孔;只需将零件放置在机器人可触及的范围内即可。我们的系统将相对的一对安装孔中的一组设为参考(“基准”),然后将所有其他对安装孔相对于它的倾斜度进行比较。假设安装孔倾斜度的任何偏差不是系统性的,而是由于正常制造公差导致的,我们的系统将要么保证所有安装孔正确对齐,要么突出显示存在未对齐的孔。使用自定义优化来确定安装孔中心和半径的亚像素,从而进行计算机视觉倾斜度测量,误差低于0.03°。机器人从基准移动到其余每个孔对时产生的误差,通过在移动到下一个孔对进行检测之前返回基准并再次固定方向来补偿。估计该误差约为0.05°,相对于基准,任何安装孔对的总倾斜误差估计为0.08°。这通过在校准台上使用钟表式量规手动测量孔对的倾斜度得到了证实(正常操作期间不使用)。