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

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

Year
2023
Citations
5

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.

Keywords

Collision avoidanceRobotComputer scienceScheme (mathematics)Artificial intelligenceComputer visionProof of conceptCollisionContrast (vision)Image (mathematics)

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