Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators
文献类型:期刊论文
作者 | Ogenyi, Uchenna Emeoha1; Liu JG(刘金国)2![]() |
刊名 | IEEE Transactions on Cybernetics
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出版日期 | 2021 |
卷号 | 51期号:4页码:1888-1901 |
关键词 | Actuators collaborative robots human-robot collaboration (HRC) human-robot interaction physical HRC (pHRC) robotic systems sensors |
ISSN号 | 2168-2267 |
产权排序 | 2 |
英文摘要 | This article presents a state-of-the-art survey on the robotic systems, sensors, actuators, and collaborative strategies for physical human-robot collaboration (pHRC). This article starts with an overview of some robotic systems with cutting-edge technologies (sensors and actuators) suitable for pHRC operations and the intelligent assist devices employed in pHRC. Sensors being among the essential components to establish communication between a human and a robotic system are surveyed. The sensor supplies the signal needed to drive the robotic actuators. The survey reveals that the design of new generation collaborative robots and other intelligent robotic systems has paved the way for sophisticated learning techniques and control algorithms to be deployed in pHRC. Furthermore, it revealed the relevant components needed to be considered for effective pHRC to be accomplished. Finally, a discussion of the major advances is made, some research directions, and future challenges are presented. |
WOS关键词 | JOINT ATTENTION ; TURN-TAKING ; EXOSKELETON ; DESIGN ; PROSTHESIS ; MODEL ; MANIPULATION ; IMITATION ; LANGUAGE ; ORTHOSES |
资助项目 | National Key Research and Development Program of China[2018YFB1304600] ; Tertiary Education Trust Fund, Nigeria ; DREAM Project of EU FP7-ICT[611391] ; Natural Science Foundation of China[51575412] ; Natural Science Foundation of China[51575338] ; Natural Science Foundation of China[51775541] ; Natural Science Foundation of China[51575407] ; Chinese Academy of Sciences Interdisciplinary Innovation Team[JCTD-2018-11] |
WOS研究方向 | Automation & Control Systems ; Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000631201900013 |
资助机构 | National Key Research and Development Program of China under Grant 2018YFB1304600 ; Tertiary Education Trust Fund, Nigeria, in part by the DREAM Project of EU FP7-ICT under Grant 611391 ; Natural Science Foundation of China under Grant 51575412, Grant 51575338, Grant 51775541, and Grant 51575407 ; Chinese Academy of Sciences Interdisciplinary Innovation Team under Grant JCTD-2018-11 |
源URL | [http://ir.sia.cn/handle/173321/28705] ![]() |
专题 | 沈阳自动化研究所_空间自动化技术研究室 |
作者单位 | 1.School of Computing, University of Portsmouth, Portsmouth, PO1 3HE, United Kingdom 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 3.Bristol Robotics Laboratory, University of the West of England, Bristol, BS16 1QY, United Kingdom |
推荐引用方式 GB/T 7714 | Ogenyi, Uchenna Emeoha,Liu JG,Yang, Chenguang,et al. Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators[J]. IEEE Transactions on Cybernetics,2021,51(4):1888-1901. |
APA | Ogenyi, Uchenna Emeoha,Liu JG,Yang, Chenguang,&Liu, Honghai.(2021).Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators.IEEE Transactions on Cybernetics,51(4),1888-1901. |
MLA | Ogenyi, Uchenna Emeoha,et al."Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators".IEEE Transactions on Cybernetics 51.4(2021):1888-1901. |
入库方式: OAI收割
来源:沈阳自动化研究所
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