Robot Path Planning Based on Genetic Algorithm Fused with Continuous Bezier Optimization
Joint Authors
Ma, Jianwei
Liu, Yang
Zang, Shaofei
Wang, Lin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this study, a new method of smooth path planning is proposed based on Bezier curves and is applied to solve the problem of redundant nodes and peak inflection points in the path planning process of traditional algorithms.
First, genetic operations are used to obtain the control points of the Bezier curve.
Second, a shorter path is selected by an optimization criterion that the length of the Bezier curve is determined by the control points.
Finally, a safe distance and adaptive penalty factor are introduced into the fitness function to ensure the safety of the walking process of the robot.
Numerous experiments are implemented in two different environments and compared with the existing methods.
It is proved that the proposed method is more effective to generate a shorter, smoother, and safer path compared with traditional approaches.
American Psychological Association (APA)
Ma, Jianwei& Liu, Yang& Zang, Shaofei& Wang, Lin. 2020. Robot Path Planning Based on Genetic Algorithm Fused with Continuous Bezier Optimization. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138982
Modern Language Association (MLA)
Ma, Jianwei…[et al.]. Robot Path Planning Based on Genetic Algorithm Fused with Continuous Bezier Optimization. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138982
American Medical Association (AMA)
Ma, Jianwei& Liu, Yang& Zang, Shaofei& Wang, Lin. Robot Path Planning Based on Genetic Algorithm Fused with Continuous Bezier Optimization. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138982
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138982