基于3d飞行时间相机的人机协作安全速度和分离监测

Urban B. Himmelsbach, T. Wendt, Matthias Lai
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引用次数: 12

摘要

人机协作在工业生产过程中发挥着重要作用。ISO/TS 15066定义了人类和机器人之间四种不同的协作方法。到目前为止,还没有一种机器人系统可以同时结合所有四种协作方法。特别是对于速度和分离监测,没有传感器系统可以很容易地直接连接到一个现成的工业机器人手臂,能够检测距离从几毫米到五米的障碍物。本文介绍了在工业机械臂上直接使用三维飞行时间相机进行人机协作障碍检测的初步结果。我们将SICK的visioni - t相机连接到KUKA LBR iiwa 7 R800的法兰上。我们使用Matlab对图片进行了评估,发现它可以很好地检测距离范围从0.5 m到5 m的障碍物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Safe Speed and Separation Monitoring in Human-Robot Collaboration with 3D-Time-of-Flight Cameras
Human-robot collaboration plays a strong role in industrial production processes. The ISO/TS 15066 defines four different methods of collaboration between humans and robots. So far, there was no robotic system available that incorporates all four collaboration methods at once. Especially for the speed and separation monitoring, there was no sensor system available that can easily be attached directly to an off-the-shelf industrial robot arm and that is capable of detecting obstacles in distances from a few millimeters up to five meters. This paper presented first results of using a 3D time-of-flight camera directly on an industrial robot arm for obstacle detection in human-robot collaboration. We attached a Visionary-T camera from SICK to the flange of a KUKA LBR iiwa 7 R800. With Matlab, we evaluated the pictures and found that it works very well for detecting obstacles in a distance range starting from 0.5 m and up to 5 m.
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