2023 article

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

Xie, Z., Lu, L., Wang, H., Li, L., & Xu, X. (2023, June 8). IISE TRANSACTIONS ON OCCUPATIONAL ERGONOMICS & HUMAN FACTORS, Vol. 6.

By: Z. Xie n, L. Lu n, H. Wang n , L. Li  n & X. Xu n 

author keywords: Collaborative robot; collision avoidance; computer vision; robot kinematics; risk assessment
topics (OpenAlex): Hand Gesture Recognition Systems; Video Surveillance and Tracking Methods; Advanced Neural Network Applications
TL;DR: A reliable system for human-robot collision avoidance system employing computer vision that enables proactive prevention of dangerous collisions between humans and robots and greatly extends the effective detection range compared to previous studies. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: July 31, 2023

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.