An Image-Based Human-Robot Collision Avoidance Scheme: A Proof of Concept.

Ziyang Xie, Lu Lu, Hanwen Wang, Li Li, Xu Xu
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Abstract

OCCUPATIONAL APPLICATIONSIn modern industrial plants, collisions between humans and robots pose a significant risk to occupational safety. To address this concern, we sought to devise a reliable system for human-robot collision avoidance system employing computer vision. This system enables the proactive prevention of dangerous collisions between humans and robots. In contrast to previous approaches, we used a standard RGB camera, making implementation more convenient and cost-effective. Furthermore, the proposed method greatly extends the effective detection range compared to previous studies, thereby enhancing its utility for monitoring large-scale workplaces.

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基于图像的人机防撞方案:概念验证。
职业应用 在现代工业厂房中,人类与机器人之间的碰撞对职业安全构成了重大风险。为了解决这一问题,我们试图利用计算机视觉设计一种可靠的人机防撞系统。该系统能够主动预防人类与机器人之间的危险碰撞。与以往的方法相比,我们采用了标准的 RGB 摄像机,使得实施更加方便,成本效益更高。此外,与之前的研究相比,所提出的方法大大扩展了有效检测范围,从而增强了其在监控大型工作场所方面的实用性。
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