State Generation Method for Humanoid Motion Planning Based on Genetic Algorithm

A new approach to generate the original motion data for humanoid motion planning is presented in this paper. And a state generator is developed based on the genetic algorithm, which enables users to generate various motion states without using any reference motion data. By specifying various types o...

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Bibliographic Details
Main Authors: Xuyang Wang, Tiansheng Lu, Peiyan Zhang
Format: Article
Language:English
Published: SAGE Publishing 2012-05-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/50918