Associative model for solving the wall-following problem

Authors:
Rodolfo Navarro;Elena Acevedo;Antonio Acevedo;Fabiola Martínez
Affiliations:
Escuela Superior de Ingeniería Mecánica y Eléctrica, IPN, Mexico City, Mexico;Escuela Superior de Ingeniería Mecánica y Eléctrica, IPN, Mexico City, Mexico;Escuela Superior de Ingeniería Mecánica y Eléctrica, IPN, Mexico City, Mexico;Escuela Superior de Ingeniería Mecánica y Eléctrica, IPN, Mexico City, Mexico
Venue:
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Year:
2012

Citing 6
Cited 0

Vision for Mobile Robot Navigation: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Alpha---Beta bidirectional associative memories: theory and applications

Neural Processing Letters
Wall-following control of an infrared sensors guided wheeled mobile robot

International Journal of Intelligent Systems Technologies and Applications
Wall-following method for an autonomous mobile robot using two IR sensors

ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Variations in evolution of subsumption architectures using genetic programming: the wall following robot revisited

GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Morphological associative memories

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

A navigation system for a robot is presented in this work. The Wall-Following problem has become a classic problem of Robotics due to robots have to be able to move through a particular stage. This problem is proposed as a classifying task and it is solved using an associative approach. In particular, we used Morphological Associative Memories as classifier. Three testing methods were applied to validate the performance of our proposal: Leave-One-Out, Hold-Out and K-fold Cross-Validation and the average obtained was of 91.57%, overcoming the neural approach.