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A cognitive hybrid model for autonomous navigation

Identifieur interne : 002C98 ( Main/Exploration ); précédent : 002C97; suivant : 002C99

A cognitive hybrid model for autonomous navigation

Auteurs : Marcello Frixione [Italie] ; Maurizio Piaggio [Italie] ; Gianni Vercelli [Italie] ; Renato Zaccaria [Italie]

Source :

RBID : ISTEX:C6DCFD2778E3C237AF9F6F59738A026D53D1B322

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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