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Vision-guided robots rack auto parts

机译:视觉引导的机器人为汽车零件架上零件

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摘要

Unlike traditional two-dimensional (2-D) vision-guided-robot-system applications, new manufacturing applications require a robot to find a part on its own within a limited 3-D space and not depend on hard, fixtures to hold the part, additional labor to load and orient the part, or upstream actuators, sorters, and feeders to singulate parts (see Fig. 1). Since 2001, DaimlerChrysler has taken me lead in deploying 3-D vision-guided robotics for autoracking applications, moving labor costs away from lift-assisted assemblies and other complex assemblies while using vision-guided automation to add flexibility to the manufacturing line. During the past four years, these systems have evolved from beta workcells to a broadly accepted manufacturing technology—an evolution that holds many lessons for vision and robotics suppliers, as well as integrators and end users looking to automate complex assembly tasks.
机译:与传统的二维(2-D)视觉引导机器人系统应用程序不同,新的制造应用程序要求机器人在有限的3-D空间中自行找到零件,而无需依靠固定装置来固定零件,需要额外的人工来加载和定向零件,或者需要上游执行器,分拣器和进料器来分割零件(参见图1)。自2001年以来,戴姆勒·克莱斯勒(DaimlerChrysler)带领我领导了3D视觉引导机器人技术在自动赛车应用中的应用,将劳动力成本从升降辅助组件和其他复杂组件上转移了下来,同时使用视觉引导自动化技术为生产线增加了灵活性。在过去的四年中,这些系统已经从Beta工作单元发展成为一种广泛接受的制造技术,这一发展为视觉和机器人技术供应商以及希望自动化复杂组装任务的集成商和最终用户提供了很多课程。

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