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User-Friendly Safety Monitoring System for Manufacturing Cobots

4 July 2023
Ye-Ji Mun
Zhe Huang
Haonan Chen
Yilong Niu
Ha-Il You
D. L. McPherson
Katherine Driggs-Campbell
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Abstract

Collaborative robots are being increasingly utilized in industrial production lines due to their efficiency and accuracy. However, the close proximity between humans and robots can pose safety risks due to the robot's high-speed movements and powerful forces. To address this, we developed a vision-based safety monitoring system that creates a 3D reconstruction of the collaborative scene. Our system records the human-robot interaction data in real-time and reproduce their virtual replicas in a simulator for offline analysis. The objective is to provide workers with a user-friendly visualization tool for reviewing performance and diagnosing failures, thereby enhancing safety in manufacturing settings.

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