Humanoid robot's motion planning using genetic network programming

Y. X. Sun, H. Ogai

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

Abstract

We have developed the program for humanoid robot's whole body motion planning using Genetic Network Programming (GNP). First we introduce the main idea and the way constructing GNP, then the method of applying GNP to robot's whole body motion planning, and give the result of our research as a conclusion.

Original languageEnglish
Title of host publicationProceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
Pages46-49
Number of pages4
Publication statusPublished - 2009 Dec 1
Event14th International Symposium on Artificial Life and Robotics, AROB 14th'09 - Oita, Japan
Duration: 2008 Feb 52009 Feb 7

Publication series

NameProceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09

Conference

Conference14th International Symposium on Artificial Life and Robotics, AROB 14th'09
CountryJapan
CityOita
Period08/2/509/2/7

Keywords

  • Evaluation function
  • Genetic network programming
  • Individual
  • Node
  • Population

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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  • Cite this

    Sun, Y. X., & Ogai, H. (2009). Humanoid robot's motion planning using genetic network programming. In Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09 (pp. 46-49). (Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09).