Ponencia
Neural Network Local Navigation of Mobile Robots in a Moving Obstacles Environment
Autor/es | Gómez Ortega, Juan
Camacho, Eduardo F. Quero, J. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 1994 |
Fecha de depósito | 2020-04-21 |
Publicado en |
|
ISBN/ISSN | 1474-6670 |
Resumen | This paper presents a local navigation method based on generalized predictive control. A modified cost function to avoid moving and static obstacles is presented. An Extended Kaiman Filter is proposed to predict the motions ... This paper presents a local navigation method based on generalized predictive control. A modified cost function to avoid moving and static obstacles is presented. An Extended Kaiman Filter is proposed to predict the motions of the obstacles. A Neural Network implementation of this method is analysed. Simulation results are shown. |
Identificador del proyecto | TAP93-0408
TAP93-0581 |
Cita | Gómez Ortega, J., Camacho, E.F. y Quero, J. (1994). Neural Network Local Navigation of Mobile Robots in a Moving Obstacles Environment. En IFAC Intelligent Components and Instruments for Control Applications (247-252), Budapest, Hungría: Elsevier. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
1-s2.0-S1474667017461179-main.pdf | 1.266Mb | [PDF] | Ver/ | |