AI-driven control system for safe and adaptive human-robot collaboration in welding applications

Abstract

The study presents a system to support safe collaboration in a human-robot welding environment. The welding parameters change dynamically according to the evaluation of real-time sensed environmental data by an artificial intelligence algorithm. The system follows the movement of the human working in a collaborative environment, takes into account the UV danger zone and integrates the welding robot's operation. Simulations show that the system effectively minimises risks without compromising weld quality. The algorithm developed aims to reduce the risk of human-robot collaboration in the field of occupational health and safety by evaluating real-time environmental data with AI support, while meeting the quality requirements of welding. Currently, it can't find a similar innovation with the presented AI-supported system in the welding industry.