Support Vector Machine Based Mobile Robot Motion Control and Obstacle Avoidance

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Author(s): Lihua Jiang (Northeastern University, China)and Mingcong Deng (Tokyo University of Agriculture and Technology, Japan)
Copyright: 2013
Pages: 29
Source title: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
Source Author(s)/Editor(s): Pandian M. Vasant (Petronas University of Technology, Malaysia)
DOI: 10.4018/978-1-4666-2086-5.ch008

Keywords: Algorithms / Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

Considering the noise effect during the navigation of a two wheeled mobile robot, SVM and LS-SVM based control schemes are discussed under the measured information with uncertainty, and in the different environments. The noise effect is defined as uncertainty in the measured data. One of them focuses on using a potential function and constructing a plane surface for avoiding the local minima in the static environments, where the controller is based on Lyapunov function candidate. Another one addresses to use a potential function and to define a new detouring virtual force for escaping from the local minima in the dynamic environments. Stability of the control system can be guaranteed. However, the motion control of the mobile robot would be affected by the noise effect. The SVM and LS-SVM for function estimation are used for estimating the parameter in the proposed controllers. With the estimated parameter, the noise effect during the navigation of the mobile robot can be reduced.

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Support Vector Machine Based Mobile Robot Motion Control and Obstacle Avoidance

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