The Chaotic Mobile Robot.

Nakamura, Yoshihiko; Sekiguchi, Akinori

doi:10.7210/jrsj.15.918

Cited by 6 publications

(5 citation statements)

References 1 publication

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“…Nakamura and Sekiguchi proposed the first chaotic mobile robot that can navigate following a chaotic pattern. As shown in Figure . 17, they proposed the design of a controller that produces chaotic motion using the Arnold equation in a mobile robot [53,54]. This schema does not need any trajectory planning or workspace mapping.…”

Section: Chaotic Mobile Robotmentioning

confidence: 99%

“…Similarly, they implemented motion trajectories for a mobile agent, as illustrated in Figure . 20, using the Standard map-a dynamical system [63]. tics of a two-wheeled mobile robot b) Prototype mobile robot c) Chaotic patrol [53,54] entally proved that the method of combining chaotic attractors is effective for motio 58]. They experimented with robot trajectories by employing various types of chaotic orenz's and Rossler's attractors.…”

Section: Chaotic Mobile Robotmentioning

confidence: 99%

“…Figure 16. a) Kinematics of a two-wheeled mobile robot b) Prototype mobile robot c) Chaotic patrol[53,54] …”

mentioning

confidence: 99%

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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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Section: Chaotic Mobile Robotmentioning

confidence: 99%

Section: Chaotic Mobile Robotmentioning

confidence: 99%

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Applications of Chaotic Dynamics in Robotics

Zang

Iqbal

Zhu

et al. 2016

International Journal of Advanced Robotic Systems

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“…And the two-dimensional systems, for example the standard or Taylor-Chirikov map [13, 21, 24], have two variables, and they can easily be used to control the robot's coordinate position. The three-dimensional systems have a very flexible selection because they have three variables [25, 26, 27]. Theoretically, any one of them can be chosen as the chaotic variable to control the robot's orientation.…”

Section: Introductionmentioning

confidence: 99%

A Bounded Strategy of the Mobile Robot Coverage Path Planning Based on Lorenz Chaotic System

Song

Wang

et al. 2016

International Journal of Advanced Robotic Systems

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According to the requirements of the mobile robot complete coverage path planning for some special missions, this paper introduces a bounded strategy based on the integration of the Lorenz dynamic system and the robot kinematics equation. Chaotic variables of the Lorenz system are confined in a limited range, while when they are used to produce the robot's coordinate position, the trajectory range is determined by the starting point, iterative times, and iterative step. The proposed bounded strategy can constrain all the robot positions in the workplace by a mirror mapping method that can reflect the overflow waypoints returning to it. Moreover, the statistical characteristics of the Lorenz chaotic variables and the robot trajectory are discussed in order to choose the best mapping variable. The simulation results show that the bounded strategy that uses the chosen variable can achieve a higher coverage rate contrary to other similar works.

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“…Some related work has been done. For instance, the integration between the robot motion system and a chaotic system, the Arnold dynamical system, is used to impart chaotic behaviour to a robot in [8]. The same principle of systems integration is adopted to generate the random motion for complete coverage path planning of the mobile robot in [3].…”

Section: Introductionmentioning

confidence: 99%

An Improved Chaotic Motion Path Planner for Autonomous Mobile Robots Based on a Logistic Map

Wang

Zhao

et al. 2013

International Journal of Advanced Robotic Systems

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This paper presents a chaotic motion path planner based on a Logistic Map (SCLCP) for an autonomous mobile robot to cover an unknown terrain randomly, namely entirely, unpredictably and evenly. The path planner has been improved by arcsine and arccosine transformation. A motion path planner based only on the Logistic Chaotic Map (LCP) can show chaotic behaviour, which possesses the chaotic characteristics of topological transitivity and unpredictability, but lacks better evenness. Therefore, the arcsine and arccosine transformations are used to enhance the randomness of LCP. The randomness of the followed path planner, LCP, the improved path planner SCLCP and the commonly used Random Path Planner (RP) are discussed and compared under different sets of initial conditions and different iteration rounds. Simulation results confirm that a better evenness index of SCLCP can be obtained with regard to previous works.

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The Chaotic Mobile Robot.

Cited by 6 publications

References 1 publication

Applications of Chaotic Dynamics in Robotics

Applications of Chaotic Dynamics in Robotics

A Bounded Strategy of the Mobile Robot Coverage Path Planning Based on Lorenz Chaotic System

An Improved Chaotic Motion Path Planner for Autonomous Mobile Robots Based on a Logistic Map

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