A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems

doi:10.1109/TCYB.2021.3071312

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 机器人应用与理论组

	A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems
	Qiao, Hong 1,2; Chen, Jiahao 1,2; Huang, Xiao 3
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2021-04-28
页码	14
关键词	Robots Visualization Task analysis Brain modeling Musculoskeletal system Motion control Decision making Brain-inspired intelligent robots decision making muscle control musculoskeletal robots visual cognition
ISSN号	2168-2267
DOI	10.1109/TCYB.2021.3071312
通讯作者	Chen, Jiahao(chenjiahao2016@ia.ac.cn)
英文摘要	Current robotic studies are focused on the performance of specific tasks. However, such tasks cannot be generalized, and some special tasks, such as compliant and precise manipulation, fast and flexible response, and deep collaboration between humans and robots, cannot be realized. Brain-inspired intelligent robots imitate humans and animals, from inner mechanisms to external structures, through an integration of visual cognition, decision making, motion control, and musculoskeletal systems. This kind of robot is more likely to realize the functions that current robots cannot realize and become human friends. With the focus on the development of brain-inspired intelligent robots, this article reviews cutting-edge research in the areas of brain-inspired visual cognition, decision making, musculoskeletal robots, motion control, and their integration. It aims to provide greater insight into brain-inspired intelligent robots and attracts more attention to this field from the global research community.
资助项目	National Key Research and Development Program of China[2017YFB1300203] ; National Natural Science Foundation of China[91648205] ; National Natural Science Foundation of China[61627808] ; National Natural Science Foundation of China[91948303] ; Strategic Priority Research Program of Chinese Academy of Science[XDB32050100]
WOS关键词	NEURAL-NETWORK ; MUSCLE SYNERGIES ; CORTICAL REPRESENTATION ; OBJECT RECOGNITION ; CORTEX ; MEMORY ; RESPONSES ; DYNAMICS ; DRIVEN ; CEREBELLUM
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:000732202200001
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Science
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/46953]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
通讯作者	Chen, Jiahao
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Beijing Inst Technol, Key Lab Biomimet Robots & Syst, Chinese Minist Educ, Sch Mechatron Engn,Adv Innovat Ctr Intelligent Ro, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Qiao, Hong,Chen, Jiahao,Huang, Xiao. A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems[J]. IEEE TRANSACTIONS ON CYBERNETICS,2021:14.
APA	Qiao, Hong,Chen, Jiahao,&Huang, Xiao.(2021).A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems.IEEE TRANSACTIONS ON CYBERNETICS,14.
MLA	Qiao, Hong,et al."A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems".IEEE TRANSACTIONS ON CYBERNETICS (2021):14.