A method for co-evolving morphology and walking pattern of biped humanoid robot

Ken Endo, Fuminori Yamasaki, Takashi Maeno, Hiroaki Kitano

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

In this paper, we present a method for co-evolving structures and controller of biped walking robots. Currently, biped walking humanoid robots are designed manually on trial-and-error basis. Although certain control theory exists, such as zero moment point (ZMP) compensation, these theories assume humanoid robot morphology is given in advance. Thus, engineers have to design control program for apriori designed morphology. If morphology and locomotion are considered simultaneously, we do not have to spare time with trial-and-error. Therefore a method useful for designing the robot is proposed. At first, the simple models of both morphology and controller are used for the dynamic simulation, which are multi-link model as morphology and two kinds of controllers. One is a layered neural network and the other is neural oscillator. The robots with the optimal energy efficiency of walking are designed with Genetic Algorithm. As a result, various combinations of morphologies and gaits are generated, and obtained relationship between length of each link and moving distance which gives the optimal energy efficiency. Moreover, the robots are encoded from limited size of chromosomes.

Original languageEnglish
Pages (from-to)2775-2780
Number of pages6
JournalProceedings-IEEE International Conference on Robotics and Automation
Volume3
DOIs
Publication statusPublished - 2002

Keywords

  • Biped walking
  • Genetic algorithm
  • Neural network
  • Oscillator

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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