中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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; Yang, Chenguang3; Liu, Honghai1
刊名IEEE Transactions on Cybernetics
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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