Mobile Robot Path Planning based on Conformal Geometric Algebra and Teaching-Learning Based Optimization

被引：5
|
作者：
Hernandez-Barragan, Jesus [1 ]
机构：
[1] Univ Guadalajara, CUCEI, Comp Sci Dept, Guadalajara 44430, Jalisco, Mexico
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 13期
关键词：
Path Planning; Mobile Robots; Geometric Algebra; Metaheuristic Algorithms; OMNIDIRECTIONAL VISION; FRAMEWORK; ALGORITHM;
D O I：
10.1016/j.ifacol.2018.07.301
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A crucial task for mobile robots is to move safely through its environment. Therefore, the determination of a safe path planning algorithm is a key problem. In this paper, the authors present a path planning approach based on Conformal Geometric Algebra and Teaching Learning Based Optimization. The proposed approach solves the path planning for 2D and 3D environments. The simulation results proved the effectiveness of the proposed method. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：338 / 343
页数：6
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