Robot mapping and map optimization using genetic algorithms and artificial neural networks

Authors:
Inci Cabar;Sirma Yavuz;Osman Erol
Affiliations:
Department of Computer Science, Istanbul Technical University, Maslak, Istanbul, Turkey;Department of Computer Engineering, Yildiz Technical University, Istanbul Teknik Universitesi, Elektrik-Elektronik Fakultesi, Maslak, Istanbul, Turkey;Department of Computer Science, Istanbul Technical University, Maslak, Istanbul, Turkey
Venue:
WSEAS Transactions on Computers
Year:
2008

Citing 3
Cited 2

Optimal receding horizon filter for continuous-time nonlinear stochastic systems

SIP'07 Proceedings of the 6th Conference on 6th WSEAS International Conference on Signal Processing - Volume 6
Hybrid approach to MK classification of stars neural networks and knowledge-based systems

AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Neural network aided breast cancer detection and diagnosis

NN'06 Proceedings of the 7th WSEAS International Conference on Neural Networks

Neural architectures optimization and genetic algorithms

WSEAS Transactions on Computers
The continuous hopfield networks (CHN) for the placement of the electronic circuits problem

WSEAS Transactions on Computers

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper is about an autonomous robot map creation and optimization algorithm. To create the map, calibrated sensor data transfered to the x-y coordinate system were used. Afterwards we tried to otimize the anomalies of the map with different methods as artificial neural networks, genetic algorithms.