On comparison of attractors for chaotic mobile robots

Jansri, Anurak; Klomkarn, Kitdakorn; Sooraksa, Pitikhate

doi:10.1109/iecon.2004.1432201

Cited by 12 publications

(5 citation statements)

References 11 publications

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“…Some chaotic path planning literature [188,189] present comparisons of well-known chaotic equations. These comparisons are performed to establish which equations are better applicable to various testing conditions judging by their coverage rate.…”

Section: F Systems Comparisonmentioning

confidence: 99%

Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities

Ahuraka,

Mcnamee,

Wang

et al. 2023

IEEE Access

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Section: F Systems Comparisonmentioning

confidence: 99%

Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities

Ahuraka,

Mcnamee,

Wang

et al. 2023

IEEE Access

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“…Jansri et al experimentally proved that the method of combining chaotic attractors is effective for motion planning of mobile robots [55][56][57][58]. They experimented with robot trajectories by employing various types of chaotic patterns; for example, Chua's, Lorenz's and Rossler's attractors.…”

Section: Chaotic Mobile Robotmentioning

confidence: 99%

Applications of Chaotic Dynamics in Robotics

Zang

Iqbal

Zhu

et al. 2016

International Journal of Advanced Robotic Systems

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This article presents a summary of applications of chaos and fractals in robotics. Firstly, basic concepts of deterministic chaos and fractals are discussed. Then, fundamental tools of chaos theory used for identifying and quantifying chaotic dynamics will be shared. Principal applications of chaos and fractal structures in robotics research, such as chaotic mobile robots, chaotic behaviour exhibited by mobile robots interacting with the environment, chaotic optimization algorithms, chaotic dynamics in bipedal locomotion and fractal mechanisms in modular robots will be presented. A brief survey is reported and an analysis of the reviewed publications is also presented.

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“…Signals, which are produced by chaotic systems or circuits, are used to guide autonomous robots for exploration of a terrain for vigilance. In the literature, very known chaotic systems, such as Arnold dynamical system, Standard or Taylor-Chirikov map, Lorenz system, Van der Pol map, and Chua circuit, have been used [7][8][9][10][11]. In [12], we also present a chaotic motion path planner, which is improved by arcsine and arccosine transformations, based on a Logistic Map for an autonomous mobile robot to cover an unknown terrain randomly, unpredictably, and evenly.…”

Section: Introductionmentioning

confidence: 99%

Chaotic Path Planner of Autonomous Mobile Robots Based on the Standard Map for Surveillance Missions

Song

Wang

et al. 2015

Mathematical Problems in Engineering

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This paper proposes a fusion iterations strategy based on the Standard map to generate a chaotic path planner of the mobile robot for surveillance missions. The distances of the chaotic trajectories between the adjacent iteration points which are produced by the Standard map are too large for the robot to track. So a fusion iterations strategy combined with the large region iterations and the small grids region iterations is designed to resolve the problem. The small region iterations perform the iterations of the Standard map in the divided small grids, respectively. It can reduce the adjacent distances by dividing the whole surveillance workspace into small grids. The large region iterations combine all the small grids region iterations into a whole, switch automatically among the small grids, and maintain the chaotic characteristics of the robot to guarantee the surveillance missions. Compared to simply using the Standard map in the whole workspace, the proposed strategy can decrease the adjacent distances according to the divided size of the small grids and is convenient for the robot to track.

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On comparison of attractors for chaotic mobile robots

Cited by 12 publications

References 11 publications

Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities

Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities

Applications of Chaotic Dynamics in Robotics

Chaotic Path Planner of Autonomous Mobile Robots Based on the Standard Map for Surveillance Missions

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