VIP neuron model: Head-centered cross-modal representation of the peri-personal space around the face

S. Fuke, M. Ogino, M. Asada
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引用次数: 9

Abstract

Since body representation is one of the most fundamental issues for physical agents (humans, primates, and also robots) to adaptively perform various kinds of tasks, a number of learning methods have attempted to make robots acquire their body representation. However, these previous methods have supposed that the reference frame is given and fixed a priori. Therefore, such acquisition has not been dealt. This paper presents a model that enables a robot to acquire cross-modal representation of its face based on VIP neurons whose function (found in neuroscience) is not only to code the location of visual stimuli in the head-centered reference frame and but also to connect visual and tactile sensations. Preliminary simulation results are shown and future issues are discussed.
VIP神经元模型:以头部为中心的面部周围空间的交叉模态表征
由于身体表征是物理代理(人类、灵长类动物和机器人)自适应执行各种任务的最基本问题之一,许多学习方法试图使机器人获得他们的身体表征。然而,这些先前的方法都假定参照系是给定的,并且是先验地固定的。因此,这样的收购尚未进行。本文提出了一个基于VIP神经元的模型,使机器人能够获得其面部的跨模态表征,VIP神经元的功能(在神经科学中发现)不仅是编码视觉刺激在头部为中心的参考框架中的位置,而且还连接视觉和触觉。给出了初步的仿真结果,并对未来需要解决的问题进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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