A grammatical approach to the modeling of an autonomous robot


Autoria(s): López García, Gabriel; Gallego Sánchez, Antonio Javier; Dalmau Espert, J. Luis; Molina Carmona, Rafael; Compañ, Patricia
Contribuinte(s)

Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial

Informática Industrial e Inteligencia Artificial

Data(s)

15/10/2012

15/10/2012

01/06/2012

Resumo

Virtual Worlds Generator is a grammatical model that is proposed to define virtual worlds. It integrates the diversity of sensors and interaction devices, multimodality and a virtual simulation system. Its grammar allows the definition and abstraction in symbols strings of the scenes of the virtual world, independently of the hardware that is used to represent the world or to interact with it. A case study is presented to explain how to use the proposed model to formalize a robot navigation system with multimodal perception and a hybrid control scheme of the robot. The result is an instance of the model grammar that implements the robotic system and is independent of the sensing devices used for perception and interaction. As a conclusion the Virtual Worlds Generator adds value in the simulation of virtual worlds since the definition can be done formally and independently of the peculiarities of the supporting devices.

Identificador

LÓPEZ-GARCÍA, Gabriel, et al. “A grammatical approach to the modeling of an autonomous robot”. International Journal of Interactive Multimedia and Artificial Intelligence. Vol. 1, Special Issue on Distributed Computing and Artificial Intelligence, No. 5 (2012). ISSN 1989-1660, pp. 30-37

1989-1660

http://hdl.handle.net/10045/24674

A6409483

Idioma(s)

eng

Publicador

Imai Software Research Group

Relação

http://www.ijimai.org/journal/node/224

Direitos

Licencia Creative Commons Reconocimiento 3.0

info:eu-repo/semantics/openAccess

Palavras-Chave #Autonomous robots #Virtual worlds #Grammatical models #Multimodal perception #Ciencia de la Computación e Inteligencia Artificial
Tipo

info:eu-repo/semantics/article