Difficulty and complexity definitions for assembly task allocation and assignment in human–robot collaborations: A review |
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| Affiliation: | 1. School of Mechanical Engineering, Tongji University, Shanghai 201804, China;2. Siemens Technology, Siemens Ltd., China;1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400044, China;2. State Key Laboratory of Public Big Data, Guizhou University, Guiyang, 550025, China;1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China;2. Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, 1010, New Zealand;3. Department of Aerospace Engineering, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada;4. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai, 200072, China;1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. Department of Production Engineering, KTH Royal Institute of Technology, Stockholm 10044, Sweden;3. Beijing Institute of Control Engineering, Beijing 100191, China;1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;2. Institute of Artificial Intelligence, Beihang University, Beijing 100191, China;3. MIIT Key Laboratory of Intelligent Manufacturing Technology for Aeronautics Advanced Equipments, Ministry of Industry and Information Technology, Beijing 100191, China;4. Beijing Key Laboratory of Digital Design and Manufacturing Technology, Beijing 100191, China |
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| Abstract: | This paper presents a literature review on the different aspects of task allocation and assignment problems in human–robot collaboration (HRC) tasks in industrial assembly environments. In future advanced industrial environments, robots and humans are expected to share the same workspace and collaborate to efficiently achieve shared goals. Difficulty- and complexity-aware HRC assembly is necessary for human-centric manufacturing, which is a goal of Industry 5.0. Therefore, the objective of this study is to clarify the definitions of difficulty and complexity used to encourage effective collaboration between humans and robots to leverage the adaptability of humans and the autonomy of robots. To achieve this goal, a systematic review of the following relevant databases for computer science was performed: IEEE Xplore, ScienceDirect, SpringerLink, ACM Digital Library, and ASME Digital Collection. The results extracted from 74 peer-reviewed research articles published until July 2022 were summarized and categorized into four taxonomies for 145 difficulty and complexity definitions from the perspectives of (1) definition-use objectives, (2) evaluation objectives, (3) evaluation factors, and (4) evaluation variables. Next, existing definitions were primarily classified according to the following two criteria to identify potential future studies on the formulation of new definitions for human-centric manufacturing: (1) agent specificity and (2) common aspects in manual and robotic assemblies. |
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| Keywords: | Difficulty Complexity Assembly Task allocation Task assignment Human–robot collaboration |
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