Human-Robot Collaboration for Industry 4.0: Managing Risk and Enhancing Performance Through Mutual Adaptation

Technological progress in the industrial context has encouraged using robots and autonomous systems within industries, focused on introducing solutions to monitor the safety and risks related to Human-Robot Collaboration (HRC).The proposed analysis will meet this requirement, using a mathematical model, which, starting from the systematic analysis of traditional interaction models, analyses the mutual interplay between robots and humans.It will evaluate the impact of this collaboration, quantify mutual learning, consider human feedback to improve the adaptation of cobots to the working environment, and manage human unpredictability, which is responsible for new risk factors.The goal is to improve performance, reduce operator stress and the risk of accidents in the workplace and consequently increase safety.