Navigation of Autonomous Mobile Robot Using Different Activation Functions of Wavelet Neural Network

被引：0
|
作者：
Panigrahi, Pratap Kumar [1 ]
Sahoo, Sampa [2 ]
机构：
[1] Padmanava Coll Engn, Dept Elect Engn, Rourkela, Odisha, India
[2] Padmanava Coll Engn, Dept CSC, Rourkela, Odisha, India
来源：
2014 INTERNATIONAL CONFERENCE FOR CONVERGENCE OF TECHNOLOGY (I2CT) | 2014年
关键词：
Autonomous mobile robot; Activation functions; obstacle avoidance; path planning; wavelet neural network;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
An autonomous mobile robot is a robot which can move and act autonomously without the help of human assistance. Navigation problem of mobile robot in unknown environment is an interesting research area. This is a problem of deducing a path for the robot from its initial position to a given goal position without collision with the obstacles. Different methods such as fuzzy logic, neural networks etc. are used to find collision free path for mobile robot. This paper examines behavior of path planning of mobile robot using three activation functions of wavelet neural network i.e. Mexican Hat, Gaussian and Morlet wavelet functions by MATLAB. The simulation results shows that WNN has faster convergence as well as learning speed with respect to traditional artificial neural network.
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页数：6
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