2024-03-29T13:27:52Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/20072023-05-30T11:13:24Zcom_10612_17col_10612_21
Escuela de Ingenierias Industrial, Informática y Aeroespacial
Martín Rico, Francisco
Matellán Olivera, Vicente
Cañas, José María
Barrera González, Pablo
Arquitectura y Tecnologia de Computadores
2005-07-18
2012-11-13T09:53:54Z
2012-11-13T09:53:54Z
2012-11-13
RoboCup Symposium, Julio, 2005, Osaka, Japón
http://hdl.handle.net/10612/2007
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 active vision as the main
input and localization in not-engineered environments
eng
Informática
Localización
Liga de robots
Robots móviles
Visual based localization for a Legged Robot
info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/lecture
info:eu-repo/semantics/openAccess