基于量子遗传算法的超冗余度机器人逆解优化

Hyper redundant robotis such robotwith degreesof freedom far more than itsminimum number of degrees of freedom needed to complete a task.The inverse solution of the hyper-redundant robot is obtained by using the method of backbone curve and the formula for the range of the initial configuration para...

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Bibliographic Details
Main Authors: 赵爽, 李立, 白瑞松
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2013-01-01
Series:Jixie chuandong
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2013.11.004
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Summary:Hyper redundant robotis such robotwith degreesof freedom far more than itsminimum number of degrees of freedom needed to complete a task.The inverse solution of the hyper-redundant robot is obtained by using the method of backbone curve and the formula for the range of the initial configuration parameter is given firstly.Inverse solution is optimized by using quantum genetic algorithm and adjusting the initial configuration parameters,so that the distance of joint motion is minimum.The validity of the approach is demonstrated with an example of a planar 10-bar hyper-redundant robotic mechanism.
ISSN:1004-2539