Motion Planning for Humanoid Robot Based on Hybrid Evolutionary Algorithm

In this paper, online gait control system is designed for walking-up-stairs movement according to the features of humanoid robot, the hybrid evolutionary approach based on neural network optimized by particle swarm is employed for the offline training of the movement process, and the optimal gait of...

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Bibliographic Details
Main Authors: Zhong Qiu-Bo, Piao Song-Hao, Gao Chao
Format: Article
Language:English
Published: SAGE Publishing 2010-09-01
Series:International Journal of Advanced Robotic Systems
Subjects:
Online Access:http://www.intechopen.com/articles/show/title/motion-planning-for-humanoid-robot-based-on-hybrid-evolutionary-algorithm
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author Zhong Qiu-Bo
Piao Song-Hao
Gao Chao
author_facet Zhong Qiu-Bo
Piao Song-Hao
Gao Chao
author_sort Zhong Qiu-Bo
collection DOAJ
description In this paper, online gait control system is designed for walking-up-stairs movement according to the features of humanoid robot, the hybrid evolutionary approach based on neural network optimized by particle swarm is employed for the offline training of the movement process, and the optimal gait of the stability is generated. Additionally, through embedded monocular vision, on-site environmental information is collected as neural network input, so necessary joint trajectory is output for the movement. Simulations and experiment testify the efficiency of the method.
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spelling doaj.art-9c1a7c4ab6d64ec3be06df408ffd88c12022-12-21T20:41:07ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88061729-88142010-09-0173Motion Planning for Humanoid Robot Based on Hybrid Evolutionary AlgorithmZhong Qiu-BoPiao Song-HaoGao ChaoIn this paper, online gait control system is designed for walking-up-stairs movement according to the features of humanoid robot, the hybrid evolutionary approach based on neural network optimized by particle swarm is employed for the offline training of the movement process, and the optimal gait of the stability is generated. Additionally, through embedded monocular vision, on-site environmental information is collected as neural network input, so necessary joint trajectory is output for the movement. Simulations and experiment testify the efficiency of the method.http://www.intechopen.com/articles/show/title/motion-planning-for-humanoid-robot-based-on-hybrid-evolutionary-algorithmhumanoid robot; neural network; particle swarm optimization; gait control
spellingShingle Zhong Qiu-Bo
Piao Song-Hao
Gao Chao
Motion Planning for Humanoid Robot Based on Hybrid Evolutionary Algorithm
International Journal of Advanced Robotic Systems
humanoid robot; neural network; particle swarm optimization; gait control
title Motion Planning for Humanoid Robot Based on Hybrid Evolutionary Algorithm
title_full Motion Planning for Humanoid Robot Based on Hybrid Evolutionary Algorithm
title_fullStr Motion Planning for Humanoid Robot Based on Hybrid Evolutionary Algorithm
title_full_unstemmed Motion Planning for Humanoid Robot Based on Hybrid Evolutionary Algorithm
title_short Motion Planning for Humanoid Robot Based on Hybrid Evolutionary Algorithm
title_sort motion planning for humanoid robot based on hybrid evolutionary algorithm
topic humanoid robot; neural network; particle swarm optimization; gait control
url http://www.intechopen.com/articles/show/title/motion-planning-for-humanoid-robot-based-on-hybrid-evolutionary-algorithm
work_keys_str_mv AT zhongqiubo motionplanningforhumanoidrobotbasedonhybridevolutionaryalgorithm
AT piaosonghao motionplanningforhumanoidrobotbasedonhybridevolutionaryalgorithm
AT gaochao motionplanningforhumanoidrobotbasedonhybridevolutionaryalgorithm