Human-Robot Interaction in assembly tasks: Analysis of the impact of robot's and human's attributes on system performance

This paper presents an analysis of the impact of human and robot attributes on the performance of assembly tasks in collaborative Human-Robot Interaction (HRI). With the rise of Industry 4.0 and 5.0, the integration of collaborative robots (cobots) has become increasingly relevant. The paper explores how attributes such as operator age and experience, and robot size affect task efficiency and error rates. Through a systematic literature review (SLR) on 30 case studies, the correlation between these attributes and performance metrics were analysed. Results indicate that operator experience significantly reduces task time, while large robot size usually negatively influences both error rates and task adaptability. It is also provided a graphical visualization of the results which envelops all key elements of the HRI derived from the case studies' analysis. The novelty of the work lies in the exploration of the interaction between human and robot attributes using a SLR, offering a deeper examination compared to previous studies. The findings highlight current research gaps and suggest directions for future studies, particularly on human factors, such as trust, safety and ergonomics. (c) Copyright 2025 The Authors.