An automatic motion generation system for humanoid-like robot based on Interactive GA

Soichiro Oki, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an automatic motion generation system for a humanoid-like robot based on Interactive Genetic Algorithm(IGA). The proposed system can generate various movements for ten kinds of emotions, i.e., joy, anger, sadness, fear, shame, like, dislike, irritate, easy and surprise. Because of employment of IGA, users' burden is low. Laban features are also used for effective learning. We performed two kinds of evaluation experiments. One is evaluation of generated movements, second one concerns effectiveness of usage of Laban features. In addition, clustering analysis is carried out to find various findings for movements.

Original languageEnglish
Title of host publication2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
Pages116-117
Number of pages2
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013 - Tokyo, Japan
Duration: 2013 Oct 12013 Oct 4

Publication series

Name2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013

Other

Other2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
CountryJapan
CityTokyo
Period13/10/113/10/4

Keywords

  • Emotional Expression
  • Humanoid Robot
  • Motion Generation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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