Catálogo de publicaciones - libros
RoboCup 2005: Robot Soccer World Cup IX
Ansgar Bredenfeld ; Adam Jacoff ; Itsuki Noda ; Yasutake Takahashi (eds.)
En conferencia: 9º Robot Soccer World Cup (RoboCup) . Osaka, Japan . July 13, 2005 - July 19, 2005
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Robotics and Automation; Artificial Intelligence (incl. Robotics); Computer Communication Networks; Software Engineering; User Interfaces and Human Computer Interaction; Image Processing and Computer Vision
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2006 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-35437-6
ISBN electrónico
978-3-540-35438-3
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2006
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2006
Cobertura temática
Tabla de contenidos
doi: 10.1007/11780519_44
Behavior-Based Vision on a 4 Legged Soccer Robot
Floris Mantz; Pieter Jonker; Wouter Caarls
In this paper the architecture of a 4 legged soccer robot is divided into a hierarchy of , where each behavior represents an independent sense-think-act loop. Based on this view we have implemented a improving performance due to image processing, image processing and self localization. The system was tested under various lighting conditions, off-line using sets of images, and on-line in real tests for a robot in the role of goalkeeper. It appeared hat the performance of the goalie , that it could play under a wider range of lighting and environmental conditions and used less CPU power.
- Posters | Pp. 480-487
doi: 10.1007/11780519_72
Visual Based Localization for a Legged Robot
Francisco Martín; Vicente Matellán; Jose María Cañas; Pablo Barrera
This paper presents a visual based localization mechanism for a legged robot in indoor office environments. Our proposal is a probabilistic approach which uses partially observable Markov decision processes. We use a precompiled topological map where natural landmarks like doors or ceiling lights are recognized by the robot using its on-board camera. Experiments have been conducted using the AIBO Sony robotic dog showing that it is able to deal with noisy sensors like vision and to approximate world models representing indoor office environments. The major contributions of this work is the use of an as the main input and localization in .
- Posters | Pp. 708-715