Use and advances in the Active Grammar-based Modeling architecture

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Title: Use and advances in the Active Grammar-based Modeling architecture
Authors: Manso Fernández-Arguelles, Luis Jesús | Calderita, Luis V. | Bustos García de Castro, Pablo | Bandera Rubio, Antonio
Keywords: Robotic architectures | Artificial intelligence
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Issue Date: Jul-2017
Publisher: Red de Agentes Físicos
Citation: Journal of Physical Agents. 2017, 8(1): 33-38. doi:10.14198/JoPha.2017.8.1.05
Abstract: The choice of using a robotic architecture and one of its possible implementations is one of the most crucial design decisions when developing robots. Such decision affects the whole development process, the limitations of the robot, and changing minds can be prohibitively time consuming. This paper presents the redesign and the most relevant implementation issues of the Active Grammar-based Modeling architecture (AGM), as well as the latest developments thereof. AGM is flexible, modular and designed with computation distribution and scalability in mind. In addition to a continuous refactoring of the API library and planner, the most relevant improvements are an enhanced mission specification syntax, support for representations combining symbolic and metric properties, redesigned communication patterns, and extended middleware support. A few use examples are presented to demonstrate successful application of the architecture and why some of its features were needed.
Sponsor: This work has been partially supported by the Spanish Ministerio de Economía y Competitividad Project TIN2015-65686-C5-5-R, by the Extremadura Government fund GR15120 ”Ayudas a Grupos” and FEDER funds.
URI: http://dx.doi.org/10.14198/JoPha.2017.8.1.05 | http://hdl.handle.net/10045/67919
ISSN: 1888-0258
DOI: 10.14198/JoPha.2017.8.1.05
Language: eng
Type: info:eu-repo/semantics/article
Rights: Creative Commons License Attribution-ShareAlike 4.0
Peer Review: si
Publisher version: http://www.jopha.ua.es/
Appears in Collections:Journal of Physical Agents - 2017, Vol. 8, No. 1

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