Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation
Yu, Xinbo1; Li, Bin1,6; He, Wei1,6; Feng, Yanghe5; Cheng, Long3,4; Silvestre, Carlos2
刊名IEEE TRANSACTIONS ON CYBERNETICS
2021-09-24
页码13
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
ISSN号2168-2267
DOI10.1109/TCYB.2021.3107357
通讯作者He, Wei(weihe@ieee.org)
英文摘要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.
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]
WOS关键词NONLINEAR-SYSTEMS ; TRACKING CONTROL ; NEURAL-CONTROL ; COLLABORATION ; MANIPULATION ; ADAPTATION ; DESIGN ; DELAY ; GAIT
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000733560600001
资助机构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
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/47142]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
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 Macau, Fac Sci & Technol, Dept Elect & Comp Engn, Taipa, Macau, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
5.Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Peoples R China
6.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, 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.
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