Proposal of new framework of body image - Acquisition of the body image and distinction of tools by reinforcement learning

Daisuke Takashima, Kazuyuki Ito, Hideaki Taguchi, Akio Gofuku

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

The thing that enables animals to move adaptively is called body image. In the field of psychology, it is considered that the body image is expanded when human beings use tools, and it becomes possible to use the tools effectively. On the other hand, in the field of control engineering, it is considered that the function which enables to control its body at will is realized by inverse model of the body, and how to obtain the inverse model was studied. However, to obtain the inverse model by learning is very difficult because usually the model is nonlinear and there is mutual interference. And moreover, robots cannot distinguish tools from useless objects autonomously. In this paper, we propose new definition of the body image, and we demonstrate that robots can obtain the body image by reinforcement learning and can distinguish tools from useless objects autonomously by using the obtained body image.

Original languageEnglish
Pages1270-1275
Number of pages6
Publication statusPublished - Dec 1 2005
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: Aug 8 2005Aug 10 2005

Other

OtherSICE Annual Conference 2005
CountryJapan
CityOkayama
Period8/8/058/10/05

Keywords

  • Body image
  • Q-learning
  • Reinforcement learning
  • Tool

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Takashima, D., Ito, K., Taguchi, H., & Gofuku, A. (2005). Proposal of new framework of body image - Acquisition of the body image and distinction of tools by reinforcement learning. 1270-1275. Paper presented at SICE Annual Conference 2005, Okayama, Japan.