A Survey of Research on Robotic Brain-inspired Intelligence

被引：0

作者：

Wang, Rui-Dong ^{[1
,2
]}

Wang, Rui ^{[1
]}

Zhang, Tian-Dong ^{[1
]}

Wang, Shuo ^{[1
,2
]}

机构：

[1] State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing

[2] School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2024年 / 50卷 / 08期

基金：

中国国家自然科学基金;

关键词：

brain-inspired intelligence; brain-inspired robot; Robot; spiking neural network (SNN);

D O I：

10.16383/j.aas.c230705

中图分类号：

学科分类号：

摘要：

After a long time of research and development, traditional robots have been widely used in many fields of production and life, but they still lack the flexibility, stability and adaptability similar to real organisms in complex and changing environments. As a new type of machine intelligence, brain-inspired intelligence uses computational modeling methods to simulate various characteristics of biological nervous systems and realize the reasoning and decision-making based on all kinds of information. In recent years, it has received extensive attention from the academic community. The main applications of brain-inspired intelligence methods in robot perception, decision-making and control problems are introduced. The related research results are analyzed and summarized. Finally, the main problems of software and hardware are pointed out and future development directions of robotic brain-inspired intelligence are proposed. © 2024 Science Press. All rights reserved.

引用

页码：1485 / 1501

页数：16

共 95 条

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