Proceedings of the
35th European Safety and Reliability Conference (ESREL2025) and
the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025)
15 – 19 June 2025, Stavanger, Norway
Human-Robot Collaboration for Industry 4.0: Managing Risk and Enhancing Performance Through Mutual Adaptation
1Università Telematica Pegaso - Naples, Italy.
2Department of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, Naples, 80125, Italy.
ABSTRACT
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.
Keywords: Industry 4.0, Human-robot collaboration, Risk analysis, Mutual learning, Safety.
