Navigation of autonomous mobile robot using different activation functions of wavelet neural network

• Autorzy: Panigrahi P. K. , Ghosh S. , Parhi D. R.

Identyfikatory

DOI

10.1515/acsc-2015-0002

• Języki publikacji: EN

Abstrakty

EN

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 result shows that WNN has faster learning speed with respect to traditional artificial neural network.

Słowa kluczowe

EN

autonomous mobile robot; activation functions; obstacle avoidance; path planning; wavelet neural network

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2015
• Tom: Vol. 25, no. 1
• Strony: 21--34
• Opis fizyczny: Bibliogr. 14 poz., rys., tab., wykr., wzory

Twórcy

autor

Panigrahi P. K.

• Department of Electrical Engineering, Padmanava College of Engineering, Rourkela, India

autor

Ghosh S.

• Department of Electrical Engineering, National Institute of Technology, Dargapur, India

autor

Parhi D. R.

• Department of Mechanical Engineering, National Institute of Technology, Rourkela, India

Bibliografia

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