An XR-based Approach to Safe Human-Robot Collaboration

S. Choi, Kyeong-Beom Park, D. Roh, Jae Yeol Lee, Yalda Ghasemi, Heejin Jeong
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Abstract

It is crucial to prevent safety accidents for human-robot collaboration. This study proposes an extended reality (XR) approach to safe HRC by calculating the minimum distance between the human operator and robot in real time. The proposed approach scans the real environment with multiple sensors and constructs its virtual space in XR. The virtual robot is synchronized with the real robot by matching the point cloud of real environment with that of the virtual robot. This system can effectively provide task assistance and safety information to the user wearing an XR device.
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基于x射线的安全人机协作方法
预防人机协作的安全事故至关重要。本研究提出了一种扩展现实(XR)方法,通过实时计算操作员与机器人之间的最小距离来实现安全HRC。该方法利用多传感器对真实环境进行扫描,并在XR中构建其虚拟空间。通过将真实环境中的点云与虚拟机器人的点云进行匹配,实现虚拟机器人与真实机器人的同步。该系统可以有效地为佩戴XR设备的用户提供任务辅助和安全信息。
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