Inverse Kinematic Solutions of Dual Redundant Camera Robot Based on Genetic Algorithm
Joint Authors
Zhang, Libo
He, Jingjie
Wang, Su
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Inverse kinematic solutions for a dual redundant camera robot in position are examined in order to alleviate operation difficulty and reduce time.
The inverse kinematic algorithm is based on a basic genetic algorithm, and the genetic algorithm which is used to solve the problem of a redundant robot is mainly optimized in the joint space.
On this basis, the genetic algorithm improvement strategies are studied.
In this paper, a genetic algorithm with constrained 2 redundant degrees of freedom (DOF) is proposed through setting 2 parameter variables, with more flexible structure of optimization objective function and more efficient algorithm than basic genetic algorithm.
Finally, the result of inverse kinematic algorithm is achieved in terms of the physical prototype.
American Psychological Association (APA)
Zhang, Libo& He, Jingjie& Wang, Su. 2017. Inverse Kinematic Solutions of Dual Redundant Camera Robot Based on Genetic Algorithm. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1191883
Modern Language Association (MLA)
Zhang, Libo…[et al.]. Inverse Kinematic Solutions of Dual Redundant Camera Robot Based on Genetic Algorithm. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1191883
American Medical Association (AMA)
Zhang, Libo& He, Jingjie& Wang, Su. Inverse Kinematic Solutions of Dual Redundant Camera Robot Based on Genetic Algorithm. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1191883
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191883