Clamp grasping and insertion task automation for automobile industry

Kyong-Mo Koo, Xin Jiang, A. Konno, M. Uchiyama
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Abstract

Robot is now expending their ability from simple repetitive tasks to complex assembling tasks for supporting human life activities and advanced manufacturing automations. Manufacturing automation needs more narrow tolerance to assemble parts than human life support. In manufacturing automation, insertion tasks are the most frequently used primitive tasks. It is simple but impossible assembling tasks for robots without calibrations by high precision sensory devices. Laser displacement sensors are more fast, robust, and high precision one than any other measuring devices. The high precision performance of laser displacement sensor makes robots use it as a calibrations and feature extractions device. This paper will address how to find out the hole position and insertion direction vector from the acquired point clouds. Experiments will show the automated precision insertion task of manipulators.
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汽车工业夹具夹紧插入任务自动化
机器人的能力正在从简单的重复性任务扩展到复杂的装配任务,以支持人类的生活活动和先进的制造自动化。制造自动化需要比人类生命支持更窄的装配公差。在制造自动化中,插入任务是最常用的原始任务。如果没有高精度传感装置的校准,机器人组装任务简单但不可能完成。激光位移传感器比任何其他测量设备都更快,更坚固,精度更高。激光位移传感器的高精度性能使其成为机器人的标定和特征提取设备。本文将讨论如何从获取的点云中找出孔的位置和插入方向向量。实验将展示机械手的自动精确插入任务。
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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