Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48446
Título: Runtime self-adaptation in a component-based robotic framework
Autores/as: Hernândez-Sosa, D. 
Domínguez-Brito, Antonio C. 
Guerra-Artal, Cayetano 
Cabrera-Gàmez, Jorge 
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: Robotic systems
Self-adaptive software components
Fecha de publicación: 2005
Proyectos: Aprendizaje Interactivo de Mapas Multisensoriales en Robótica Móvil. 
Conferencia: IEEE/RSJ International Conference on Intelligent Robots and Systems 
IEEE IRS/RSJ International Conference on Intelligent Robots and Systems, IROS 2005 
Resumen: The development and maintenance of software for robotic systems is a hard task due to the complexity inherent in these systems. Besides, the resulting applications have to deal with limited resources and variable execution conditions that must be considered in order to keep an acceptable system performance. To address both problems we have integrated a set of dynamic adaptation policies inside CoolBOT, a component oriented framework for programming robotic systems. CoolBOT contributes to reduce the programming effort, promoting robustness and code reuse, while the adaptation scheme provides a dynamic modulation of system performance to meet available computational resources at runtime. In this paper we also present two demonstrators that outline the benefits of using the proposed approach in the development of real robotic applications.
URI: http://hdl.handle.net/10553/48446
ISBN: 0-7803-8912-3
9780780389120
DOI: 10.1109/IROS.2005.1545578
Fuente: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS (1545578), p. 3904-3909
Colección:Actas de congresos
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