Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation

doi:10.1109/TCYB.2021.3107357

	Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation
	Yu, Xinbo 1; Li, Bin1,2 ; He, Wei 1,2; Feng, Yanghe 3; Cheng, Long4,5 ; Silvestre, Carlos 6
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
	2021-09-24
页码	13
通讯作者	He, Wei(weihe@ieee.org)
摘要	Human-robot co-transportation allows for a human and a robot to perform an object transportation task cooperatively on a shared environment. This range of applications raises a great number of theoretical and practical challenges arising mainly from the unknown human-robot interaction model as well as from the difficulty of accurately model the robot dynamics. In this article, an adaptive impedance controller for human-robot co-transportation is put forward in task space. Vision and force sensing are employed to obtain the human hand position, and to measure the interaction force between the human and the robot. Using the latest developments in nonlinear control theory, we propose a robot end-effector controller to track the motion of the human partner under actuators' input constraints, unknown initial conditions, and unknown robot dynamics. The proposed adaptive impedance control algorithm offers a safe interaction between the human and the robot and achieves a smooth control behavior along the different phases of the co-transportation task. Simulations and experiments are conducted to illustrate the performance of the proposed techniques in a co-transportation task.
关键词	Robots Robot sensing systems Task analysis Force Impedance Sensors Collaboration Error constraint human-robot co-transportation input constraint neural networks (NNs) vision and force sensing
DOI	10.1109/TCYB.2021.3107357
关键词[WOS]	NONLINEAR-SYSTEMS ; TRACKING CONTROL ; NEURAL-CONTROL ; COLLABORATION ; MANIPULATION ; ADAPTATION ; DESIGN ; DELAY ; GAIT
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62061160371] ; National Natural Science Foundation of China[U1913209] ; National Natural Science Foundation of China[62025307] ; National Natural Science Foundation of China[62073031] ; National Natural Science Foundation of China[62003032] ; China Postdoctoral Science Foundation[2020TQ0031] ; China Postdoctoral Science Foundation[2021M690358] ; Guangdong Basic and Applied Basic Research Foundation[2020B1515120071] ; Macao Science and Technology, Development Fund[FDCT/0031/2020/AFJ] ; University of Macau, Macau, China[MYRG2018-00198-FST] ; Fundacao para a Ciencia e a Tecnologia (FCT) through ISR LARSyS-FCT Project[UIDB/50009/2020]
项目资助者	National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Guangdong Basic and Applied Basic Research Foundation ; Macao Science and Technology, Development Fund ; University of Macau, Macau, China ; Fundacao para a Ciencia e a Tecnologia (FCT) through ISR LARSyS-FCT Project
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000733560600001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：70[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/47143
专题	复杂系统认知与决策实验室_先进机器人
通讯作者	He, Wei
作者单位	1.Univ Sci & Technol Beijing, Inst Artificial Intelligence, Beijing 100083, Peoples R China 2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 3.Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 6.Univ Macau, Fac Sci & Technol, Dept Elect & Comp Engn, Taipa, Macau, Peoples R China
推荐引用方式 GB/T 7714	Yu, Xinbo,Li, Bin,He, Wei,et al. Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation[J]. IEEE TRANSACTIONS ON CYBERNETICS,2021:13.
APA	Yu, Xinbo,Li, Bin,He, Wei,Feng, Yanghe,Cheng, Long,&Silvestre, Carlos.(2021).Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation.IEEE TRANSACTIONS ON CYBERNETICS,13.
MLA	Yu, Xinbo,et al."Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation".IEEE TRANSACTIONS ON CYBERNETICS (2021):13.