Design of an FPGA Based Adaptive Neural Controller for Intelligent Robot Navigation

D
DSD
2002
Euromicro Symposium on Digital System Design (DSD'02)
Abstract - Design of an FPGA Based Adaptive Neural Controller for Intelligent Robot Navigation

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Euromicro Symposium on Digital System Design (DSD'02)

Dortmund, Germany

September 04-September 06

ISBN: 0-7695-1790-0

	ASCII Text	x
	M. A. Hannan Bin Azhar, K. R. Dimond, "Design of an FPGA Based Adaptive Neural Controller for Intelligent Robot Navigation," Digital Systems Design, Euromicro Symposium on, pp. 283, Euromicro Symposium on Digital System Design (DSD'02), 2002.

	BibTex	x
	@article{ 10.1109/DSD.2002.1115380, author = {M. A. Hannan Bin Azhar and K. R. Dimond}, title = {Design of an FPGA Based Adaptive Neural Controller for Intelligent Robot Navigation}, journal ={Digital Systems Design, Euromicro Symposium on}, volume = {0}, year = {2002}, isbn = {0-7695-1790-0}, pages = {283}, doi = {http://doi.ieeecomputersociety.org/10.1109/DSD.2002.1115380}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Digital Systems Design, Euromicro Symposium on TI - Design of an FPGA Based Adaptive Neural Controller for Intelligent Robot Navigation SN - 0-7695-1790-0 SP EP A1 - M. A. Hannan Bin Azhar, A1 - K. R. Dimond, PY - 2002 KW - FPGA KW - WNN KW - ANN KW - Robotics VL - 0 JA - Digital Systems Design, Euromicro Symposium on ER -

M. A. Hannan Bin Azhar, University of Kent

K. R. Dimond, University of Kent

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSD.2002.1115380

This article describes an alternative hardware solution to be implemented on FPGAs (Field Programmable Gate Array) for collision free robot navigation. A RAM based Artificial Neural Network (ANN) was considered as the heart of the controller due to the advantage of its ease implementation in conventional hardware. The structure of the ANN was well suited to realize the experiments for evolutionary robotics (ER). The hardware implementation gives massive parallelism of neural networks and the FPGA allows fast IC prototyping and low cost modifications.

Index Terms:

FPGA, WNN, ANN, Robotics

Citation:

M. A. Hannan Bin Azhar, K. R. Dimond, "Design of an FPGA Based Adaptive Neural Controller for Intelligent Robot Navigation," dsd, pp.283, Euromicro Symposium on Digital System Design (DSD'02), 2002

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