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CLC number: TP242.6

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2019-09-04

Cited: 0

Clicked: 7130

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Cai-hong Li

http://orcid.org/0000-0003-0255-9249

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Frontiers of Information Technology & Electronic Engineering  2019 Vol.20 No.11 P.1530-1542

http://doi.org/10.1631/FITEE.1800616


Complete coverage path planning for an Arnold system based mobile robot to perform specific types of missions


Author(s):  Cai-hong Li, Chun Fang, Feng-ying Wang, Bin Xia, Yong Song

Affiliation(s):  College of Computer Science and Technology, Shandong University of Technology, Zibo 255000, China; more

Corresponding email(s):   lich@sdut.edu.cn

Key Words:  Chaotic mobile robot]> Contraction transformation, Complete coverage path planning, Candidate set


Cai-hong Li, Chun Fang, Feng-ying Wang, Bin Xia, Yong Song. Complete coverage path planning for an Arnold system based mobile robot to perform specific types of missions[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(11): 1530-1542.

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Abstract: 
We propose a contraction transformation algorithm to plan a complete coverage trajectory for a mobile robot to accomplish specific types of missions based on the Arnold dynamical system. First, we construct a chaotic mobile robot by combining the variable z of the Arnold equation and the kinematic equation of the robot. Second, we construct the candidate sets including the initial points with a relatively high coverage rate of the constructed mobile robot. Then the trajectory is contracted to the current position of the robot based on the designed contraction transformation strategy, to form a continuous complete coverage trajectory to execute the specific types of missions. Compared with the traditional method, the designed algorithm requires no obstacle avoidance to the boundary of the given workplace, possesses a high coverage rate, and keeps the chaotic characteristics of the produced coverage trajectory relatively unchanged, which enables the robot to accomplish special missions with features of completeness, randomness, or unpredictability.

特殊任务下基于Arnold系统的移动机器人全覆盖路径规划

摘要:基于Arnold动力学系统,提出一种压缩变换方法进行特殊任务下的移动机器人全覆盖路径规划。首先,将Arnold系统中的z变量与机器人运动学方程结合,构造混沌机器人。其次,利用混沌机器人中能够产生较高覆盖率的初始值构造候选集。然后,根据设计的收缩变换方法将轨迹收缩到机器人当前位置,形成连续全覆盖轨迹,以执行特殊任务。与传统方法相比,该算法不需要对给定工作场所的边界进行避障,具有较高覆盖率,且产生的覆盖轨迹混沌特性基本不变,使机器人能够以全覆盖、随机或不可预测的规划路径完成特殊任务。

关键词:混沌机器人;Arnold动力学系统;压缩变换;全覆盖遍历路径;候选集

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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