The collaboration scale: A novel approach for assessing robotic systems collaboration capabilities

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Federico Barravecchia, Riccardo Gervasi, Luca Mastrogiacomo, Fiorenzo Franceschini
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引用次数: 0

Abstract

In the transformative landscape of Industry 4.0 and the impending transition to Industry 5.0, the paradigm of collaborative robotics is emerging as a cornerstone, combining human and robotic distinctive abilities. This intersection is leading to a new era of 'human-centric' manufacturing, where the integration of human with robots is not just an option, but a need. In particular, the shift towards Industry 5.0 highlights the return of the human element to technological processes, emphasising adaptability, customization, and collaboration between humans and machines.
In this context, this study introduces the Collaboration Scale, a metric designed to evaluate the collaborative capabilities of robotic systems within this human-centred framework. This scale provides clear levels of collaboration across five foundational dimensions: Situation awareness, Adaptivity, Communication, Learning, and Mobility.
The proposed scale has three objectives: (i) establishing a common language for practitioners and researchers, (ii) promoting innovation and standardisation in collaborative robotics, and (iii) providing a practical tool for assessing and comparing the collaborative capabilities of different systems.
The framework aims to bridge the gap between current capabilities and future aspirations in robotics, while also promoting a human-centric approach for Industry 5.0.
协作规模:一种评估机器人系统协作能力的新方法
在工业4.0和即将过渡到工业5.0的变革景观中,协作机器人范式正在成为结合人类和机器人独特能力的基石。这一交叉点将引领一个“以人为中心”制造的新时代,在这个时代,人类与机器人的融合不仅是一种选择,而且是一种需求。特别是,向工业5.0的转变强调了技术过程中人的因素的回归,强调了人与机器之间的适应性、定制和协作。在此背景下,本研究引入了协作量表,这是一个旨在评估机器人系统在以人为中心的框架内的协作能力的度量标准。该量表在五个基本维度上提供了清晰的协作水平:态势感知、适应性、沟通、学习和移动性。拟议的量表有三个目标:(i)为从业者和研究人员建立一种通用语言,(ii)促进协作机器人的创新和标准化,以及(iii)为评估和比较不同系统的协作能力提供实用工具。该框架旨在弥合机器人技术当前能力和未来愿望之间的差距,同时也促进以人为本的工业5.0方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Robotics and Computer-integrated Manufacturing
Robotics and Computer-integrated Manufacturing 工程技术-工程:制造
CiteScore
24.10
自引率
13.50%
发文量
160
审稿时长
50 days
期刊介绍: The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.
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