Human Robot-Interaction: a conceptual framework for task performance analysis
Valentina Di Pasquale, Paola Farina, Marcello Fera, Salvatore Gerbino, Salvatore Miranda, Marta Rinaldi
- 发表年份
- 2024
- 引用次数
- 3
摘要
Human-robot interaction (HRI) is one of the most promising technologies in academic, social, and industrial contexts. Many industries consider HRI as an opportunity to combine the precision, repeatability, and speed of robotic automation with the human’s flexibility, ability, and inclination to problem-solving. Nevertheless, human-centred factors and their impact on performance are still underestimated in this research area resulting in an important research and application gap. This paper addresses this gap by developing a conceptual framework that identifies and combines several key elements from the human-centred and system-centred design paradigms. The aim is to support the design and implementation of human-centred working environments that consider human roles and well-being while maintaining high production performances. This can improve the digital transition to Industry 5.0 enabling the combination of two visions and avoiding the risk of implementing HRI without attention to human factors. This study will contribute to assist practitioners and researchers in identifying the relevant elements to evaluate performance in HRI systems.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002