Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/51941
Título: Control action continuity on situation-based obstacle avoidance
Autores/as: Hernández, Daniel 
Cabrera, J. 
Dominguez, A. 
Isern, J. 
Clasificación UNESCO: 120304 Inteligencia artificial
Fecha de publicación: 2009
Proyectos: Desarrollo de Un Robot Autónomo Submarino Para Aplicaciones Oceanográficas y de Control Medioambiental en Canarias 
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 12th International Conference on Computer Aided Systems Theory, EUROCAST 2009 
Resumen: This work is related to the analysis of reactive obstacle avoidance in general, and specifically to ND algorithms family. Contrary to many previous methods, the ND approach is not aimed at, devising a general motion law: instead, it. operates over a reduced set of possible situations that are treated by a, particular motion law. The big earning of this idea is that, it; eases the design of control, as now motion laws are specific to every identifiable situation. However, it; also raises new issues as nothing guarantees the control action continuity when the diagnostic changes. In this paper a modification of the ND approach, along with experimental results, is presented in order to improve this aspect of the method.
URI: http://hdl.handle.net/10553/51941
ISBN: 978-3-642-04771-8
3642047718
ISSN: 0302-9743
DOI: 10.1007/978-3-642-04772-5_58
Fuente: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg
Colección:Actas de congresos
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