Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control
Qiao, Hong1; Li, Chuan1; Yin, Peijie2; Wu, Wei1; Liu, Zhi-Yong1
Source PublicationASSEMBLY AUTOMATION
2016
Volume36Issue:1Pages:97-107
SubtypeArticle
AbstractPurpose - 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.
KeywordLearning Ability Dynamic Simulation Fast Response Ability High Precision Muscle-skeleton Simulation
WOS HeadingsScience & Technology ; Technology
DOI10.1108/AA-11-2015-099
WOS KeywordCOMPUTED MUSCLE CONTROL ; DYNAMIC SIMULATIONS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61210009 ; 31200829)
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Manufacturing
WOS IDWOS:000373372000010
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12197
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Corresponding AuthorQiao, Hong
Affiliation1.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
Recommended Citation
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.
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