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Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application | |
Hong Qiao1,2,3![]() | |
Source Publication | Machine Intelligence Research
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ISSN | 2731-538X |
2023 | |
Volume | 20Issue:1Pages:1-18 |
Abstract | Traditional joint-link robots have been widely used in production lines because of their high precision for single tasks. With the development of the manufacturing and service industries, the requirement for the comprehensive performance of robotics is growing. Numerous types of bio-inspired robotics have been investigated to realize human-like motion control and manipulation. A study route from inner mechanisms to external structures is proposed to imitate humans and animals better. With this idea, a brain-inspired intelligent robotic system is constructed that contains visual cognition, decision-making, motion control, and musculoskeletal structures. This paper reviews cutting-edge research in brain-inspired visual cognition, decision-making, motion control, and musculoskeletal systems. Two software systems and a corresponding hardware system are established, aiming at the verification and applications of next-generation brain-inspired musculoskeletal robots. |
Keyword | Brain-inspired intelligent robot software and hardware decision making muscle control cognitive intelligence |
DOI | 10.1007/s11633-022-1390-8 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ia.ac.cn/handle/173211/50897 |
Collection | 学术期刊_Machine Intelligence Research |
Affiliation | 1.The State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 3.Chinese Academy of Science Center for Excellence in Brain Science and Intelligence Technology, Shanghai 200031, China 4.School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China |
First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Hong Qiao. Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application[J]. Machine Intelligence Research,2023,20(1):1-18. |
APA | Hong Qiao.(2023).Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application.Machine Intelligence Research,20(1),1-18. |
MLA | Hong Qiao."Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application".Machine Intelligence Research 20.1(2023):1-18. |
Files in This Item: | ||||||
File Name/Size | DocType | Version | Access | License | ||
MIR-2022-07-232.pdf(2207KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View |
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