中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control

文献类型:期刊论文

作者Qiao, Hong1; Li, Chuan1; Yin, Peijie2; Wu, Wei1; Liu, Zhi-Yong3
刊名ASSEMBLY AUTOMATION
出版日期2016
卷号36期号:1页码:97-107
关键词Learning ability Dynamic simulation Fast response ability High precision Muscle-skeleton simulation
ISSN号0144-5154
DOI10.1108/AA-11-2015-099
英文摘要Purpose - Human movement system is a Multi-DOF, redundant, complex and nonlinear system formed by coordinating combination of neural system, bones, muscles and joints, which is robust and has fast response and learning ability. Imitating human movement system can improve robustness, fast response and learning ability of the robots. Design/methodology/approach - In this paper, we propose a new motion model based on the human motion pathway, especially the information propagation mechanism between the cerebellum and spinal cord. Findings - The proposed motion model proves to have fast response and learning ability through experiments, which matches the features of human motion. Originality/value - The proposed model in this paper introduces the habitual theory in kinesiology and neuroscience into robot control, and improves robustness, fast response and learning ability of the robots. This paper proves that introduction of neuroscience has an important guiding significance for precise and adaptive robot control, such as assembly automation.
资助项目National Natural Science Foundation of China[61210009] ; National Natural Science Foundation of China[31200829]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
WOS记录号WOS:000373372000010
出版者EMERALD GROUP PUBLISHING LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/22448]  
专题中国科学院数学与系统科学研究院
通讯作者Qiao, Hong
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Appl Math, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Qiao, Hong,Li, Chuan,Yin, Peijie,et al. Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control[J]. ASSEMBLY AUTOMATION,2016,36(1):97-107.
APA Qiao, Hong,Li, Chuan,Yin, Peijie,Wu, Wei,&Liu, Zhi-Yong.(2016).Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control.ASSEMBLY AUTOMATION,36(1),97-107.
MLA Qiao, Hong,et al."Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control".ASSEMBLY AUTOMATION 36.1(2016):97-107.

入库方式: OAI收割

来源:数学与系统科学研究院

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