Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/51943
Título: Sharing gaze control in a robotic system
Autores/as: Hernandez, Daniel 
Cabrera, Jorge 
Naranjo, Angel
Domínguez, Antonio C. 
Isern, Josep 
Clasificación UNESCO: 120304 Inteligencia artificial
Fecha de publicación: 2007
Proyectos: Aprendizaje Interactivo de Mapas Multisensoriales en Robótica Móvil. 
Tecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccion 
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 2nd International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007 
Resumen: The use of the vision in humans is a source of inspiration for many research works in robotics. Attention mechanisms has received much of this effort, however, aspects such as gaze control and modular composition of vision capabilities have been much less analyzed. This paper describes the architecture of an active vision system that has been conceived to ease the concurrent utilization of the system by several visual tasks. We describe in detail the functional architecture of the system and provide several solutions to the problem of sharing the visual attention when several visual tasks need to be interleaved. The system’s design hides this complexity to client processes that can be designed as if they were exclusive users of the visual system. Besides, software engineering principles for design and integration, often forgotten in this kind of developments, have been considered. Some preliminary results on a real robotic platform are also provided.
URI: http://hdl.handle.net/10553/51943
ISBN: 978-3-540-73054-5
3540730540
ISSN: 0302-9743
DOI: 10.1007/978-3-540-73055-2_49
Fuente: Mira J., Álvarez J.R. (eds) Nature Inspired Problem-Solving Methods in Knowledge Engineering. IWINAC 2007. Lecture Notes in Computer Science, vol 4528, p. 469-478. Springer, Berlin, Heidelberg,
Colección:Actas de congresos
Vista completa

Visitas

57
actualizado el 23-mar-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.