Evolutionary approach for designing the behavior generator of communication robot

研究成果: Conference contribution

抄録

Our goal is to create the robot system which interacts with human users keeping their interest during a long period. We focus on the Interactive Evolutionary Computation (IEC) technique to achieve this goal. Although the IEC enables users to design various systems which reflect their subjective preferences, it forces users to evaluate a huge number of individuals in the genetic pool during the evolution period. To solve this problem, we propose a refined IEC technique, named Human-Machine Hybrid Evaluation (HMHE), which selects the representative genes for user evaluation and estimates the evaluation results of the other genes. It can increase the population size without increasing the users' evaluation processes. We carried out some simulations where a humanoid robot with our method interacted with a user. The experimental results demonstrated that the HMHE could continue to generate the various robot behaviors by adapting to the transition of user's subjective preferences.

本文言語English
ホスト出版物のタイトル2006 SICE-ICASE International Joint Conference
ページ2104-2109
ページ数6
DOI
出版ステータスPublished - 2006 12 1
イベント2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
継続期間: 2006 10 182006 10 21

出版物シリーズ

名前2006 SICE-ICASE International Joint Conference

Conference

Conference2006 SICE-ICASE International Joint Conference
CountryKorea, Republic of
CityBusan
Period06/10/1806/10/21

ASJC Scopus subject areas

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

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