Cognitive Mechanism of Rat Hippocampal Formation and Its Application in Robot Navigation

YU Naigong; FANG Lue; LUO Ziwei; YUAN Yunhe; JIANG Xiaojun

doi:10.11936/bjutxb2016060082

Journal of Beijing University of Technology > 2017 > 43(3): 434-442. > DOI: 10.11936/bjutxb2016060082

YU Naigong, FANG Lue, LUO Ziwei, YUAN Yunhe, JIANG Xiaojun. Cognitive Mechanism of Rat Hippocampal Formation and Its Application in Robot Navigation[J]. Journal of Beijing University of Technology, 2017, 43(3): 434-442. DOI: 10.11936/bjutxb2016060082

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Cognitive Mechanism of Rat Hippocampal Formation and Its Application in Robot Navigation

YU Naigong^{1, 2,},
FANG Lue^{1, 2},
LUO Ziwei^{1, 2},
YUAN Yunhe^{1, 2},
JIANG Xiaojun^{1, 2}

1.
College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
2.
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China

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Received Date: June 28, 2016
Available Online: May 23, 2023

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Abstract

Abstract

To construct a mobile robot with environmental cognitive mechanism which is similar to that of human beings and animals, the structure of the hippocampus, the loop of information transformation and the spatial discharge cognitive mechanism of the cells related to the environmental cognition were described in detail in this paper. The cognitive mechanism of the hippocampal formation was applied to the robot platform and a typical model of the structure of the hippocampus was introduced to elaborate its application in the robot navigation. The results show that the robot can enter an environment and explore the space environment freely. Through continuous exploration, the robot ultimately forms the representation of the environment, namely, it constructs the cognitive map of the environment successfully and then accomplishes its navigation task in complex environment based on cognitive map.
- hippocampal formation,
- place cells,
- head-direction cells,
- grid cells,
- cognitive mechanism,
- robot navigation

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References (63)

References

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