A cognitive hybrid model for autonomous navigation
Identifieur interne : 002C98 ( Main/Exploration ); précédent : 002C97; suivant : 002C99A cognitive hybrid model for autonomous navigation
Auteurs : Marcello Frixione [Italie] ; Maurizio Piaggio [Italie] ; Gianni Vercelli [Italie] ; Renato Zaccaria [Italie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1995.
Abstract
Abstract: Action representation and planning is one among the most important research fields in which it has been experienced the failure of single paradigms in isolation to solve real, complex problems. The goal of this paper is to present a system for action representation and reasoning in complex, real-world, and real time scenarios, characterised by the integration of different representation paradigms: symbolic, diagrammatic, and procedural. In this sense the system is called “hybrid”. The paper focuses on the cognitive model and on the representation and reasoning system. A realistic navigation system for the guidance and control of autonomous mobile robots is used as an example to describe the potentiality of the system in solving real complex problems and it is currently being tested in an indoor environment.
Url:
DOI: 10.1007/3-540-60437-5_30
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: Action representation and planning is one among the most important research fields in which it has been experienced the failure of single paradigms in isolation to solve real, complex problems. The goal of this paper is to present a system for action representation and reasoning in complex, real-world, and real time scenarios, characterised by the integration of different representation paradigms: symbolic, diagrammatic, and procedural. In this sense the system is called “hybrid”. The paper focuses on the cognitive model and on the representation and reasoning system. A realistic navigation system for the guidance and control of autonomous mobile robots is used as an example to describe the potentiality of the system in solving real complex problems and it is currently being tested in an indoor environment.</div>
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