State Generation Method for Humanoid Motion Planning Based on Genetic Algorithm

State Generation Method for Humanoid Motion Planning Based on Genetic Algorithm

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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 2008-11-01
Series:International Journal of Advanced Robotic Systems
Subjects:
state generation
multiple constraints
inverse kinematics
genetic algorithm
humanoid robot
Online Access:http://www.intechopen.com/articles/show/title/state_generation_method_for_humanoid_motion_planning_based_on_genetic_algorithm

Internet

http://www.intechopen.com/articles/show/title/state_generation_method_for_humanoid_motion_planning_based_on_genetic_algorithm

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