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Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application
Hong Qiao1,2,3; Ya-Xiong Wu1,4; Shan-Lin Zhong1,2; Pei-Jie Yin1; Jia-Hao Chen1,2
发表期刊Machine Intelligence Research
ISSN2731-538X
2023
卷号20期号:1页码:1-18
摘要

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.

关键词Brain-inspired intelligent robot software and hardware decision making muscle control cognitive intelligence
DOI10.1007/s11633-022-1390-8
七大方向——子方向分类其他
国重实验室规划方向分类其他
是否有论文关联数据集需要存交
中文导读https://mp.weixin.qq.com/s/Nlopo2wONZCqATGViNTEoQ
视频解析https://www.bilibili.com/video/BV1Kh4y1Z7rP/
引用统计
被引频次:42[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/55963
专题学术期刊_Machine Intelligence Research
作者单位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
第一作者单位中国科学院自动化研究所
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GB/T 7714
Hong Qiao,Ya-Xiong Wu,Shan-Lin Zhong,et al. Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application[J]. Machine Intelligence Research,2023,20(1):1-18.
APA Hong Qiao,Ya-Xiong Wu,Shan-Lin Zhong,Pei-Jie Yin,&Jia-Hao Chen.(2023).Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application.Machine Intelligence Research,20(1),1-18.
MLA Hong Qiao,et al."Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application".Machine Intelligence Research 20.1(2023):1-18.
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