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A method to determine a humanoid robot position: Based on machine learning strategies - Tapa blanda

Lopez, Ignacio; Kuri-Morales, Angel

 
9783659232183: A method to determine a humanoid robot position: Based on machine learning strategies
Tapa blanda
ISBN 10: 3659232181 ISBN 13: 9783659232183
Editorial: LAP LAMBERT Academic Publishing, 2012

Sinopsis

This book introduces an algorithm to determine a humanoid robot’s position in an environment of known characteristics. The algorithm is based on evolutionary method as a machine learning strategy and takes into account the characteristics and constraints to which the humanoid robot is subject. The method raises the possibility to store a set of databases holding the minimal information from the images that describe the navigation area or possible obstacles in the robot's memory. The information in the databases can later be used by the robot at run time to navigate the area.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

This book introduces an algorithm to determine a humanoid robot's position in an environment of known characteristics. The algorithm is based on evolutionary method as a machine learning strategy and takes into account the characteristics and constraints to which the humanoid robot is subject. The method raises the possibility to store a set of databases holding the minimal information from the images that describe the navigation area or possible obstacles in the robot's memory. The information in the databases can later be used by the robot at run time to navigate the area.

Biografía del autor

Ignacio Lopez is a MSc in Computer Science student at the Universidad Nacional Autónoma de México (UNAM). He has worked in the industry for 10 years as software engineer and software architect. Currently he is part of UNAM's humanoid robots team. His areas of interest include Genetic Algorithms, Machine Learning and Computer Vision.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3659232181
ISBN 13 
9783659232183
Encuadernación
Tapa blanda
Número de páginas
60
Contacto del fabricante
no disponible
Persona responsable
no disponible