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Tactile Intelligence for Robot

Team members

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Minjae
Shim

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MinSeok Song

MinJae Kim

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Kihun Kim

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Hyeongjin
Noh

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 Robot tactile intelligence research aim to build hierarchical artificial neural networks by mimicking the structure and signal patterns of the spinal nervous system of the human body. In particular, we mimic two stages of tactile processing in the nervous system at mechanoreceptors and cuneatus nuclei in medulla. In the mechanoreceptor level, we model the spiking activity of Merkel cells with slowly adapting type I (SA 1) afferent while excluding its adaptation characteristics in this study.  In the cuneatus nuclei level, we developed an SNN learning method optimized for the network architecture and the application.

Created by Taeyang Yang @ BCI LAB

Link to UNIST website
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