自动化学报2025，Vol.51Issue(12)：2588-2608,21.DOI:10.16383/j.aas.c240716
智能机器人类脑情景认知方法研究现状与展望
Research Status and Prospects of Brain-inspired Situational Cognition Methods for Intelligent Robots
摘要
Abstract
The ideal level of robots is to achieve brain-inspired intelligence and exhibit intelligent behaviors compar-able to those of humans and animals.As demands for robot perception and cognitive capabilities continue to rise,traditional artificial intelligence approaches are encountering significant bottlenecks.Mammals in nature exhibit re-markable situational cognition abilities.Inspired by the neural information transmission and processing mechanisms of their brains,research on brain-inspired situational cognition methods for robots has emerged as a prominent top-ic.This paper first introduces the situational cognition mechanisms of mammals such as rats and macaques,then explores situational cognition computational models inspired by these mechanisms,and reviews research on brain-in-spired situational cognition methods for robots.Finally,it summarizes the existing research challenges and envi-sions future development directions.关键词
智能机器人/类脑情景认知方法/海马结构/生物视觉/认知地图Key words
Intelligent robots/brain-inspired situational cognitive method/hippocampal formation/biological vis-ion/cognitive map引用本文复制引用
YU Nai-Gong,YAN Jin-Han,WANG Zong-Xia,ZHANG Zhi-Wen,LIU Jian-Jun..智能机器人类脑情景认知方法研究现状与展望[J].自动化学报,2025,51(12):2588-2608,21.基金项目
国家自然科学基金(62076014,61573029),北京市自然科学基金(4162012)资助 Supported by National Natural Science Foundation of China(62076014,61573029)and Beijing Natural Science Foundation(4162012) （62076014,61573029）
