Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process

Haber Guerra, Rodolfo E. and Juanes Rodríguez, Carmelo and Toro Matamoros, Raúl Mario del and Beruvides López, Gerardo (2015). Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process. "Computers in Industry", v. 74 ; pp. 135-150. ISSN 0166-3615. https://doi.org/10.1016/j.compind.2015.05.001.

Description

Title: Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process
Author/s:
  • Haber Guerra, Rodolfo E.
  • Juanes Rodríguez, Carmelo
  • Toro Matamoros, Raúl Mario del
  • Beruvides López, Gerardo
Item Type: Article
Título de Revista/Publicación: Computers in Industry
Date: 3 June 2015
ISSN: 0166-3615
Volume: 74
Subjects:
Freetext Keywords: Cognitive control; Industrial application; Micro manufacturing process
Faculty: Centro de Automática y Robótica (CAR) UPM-CSIC
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Nowadays, even though cognitive control architectures form an important area of research, there are many constraints on the broad application of cognitive control at an industrial level and very few systematic approaches truly inspired by biological processes, from the perspective of control engineering. Thus, our main purpose here is the emulation of human socio-cognitive skills, so as to approach control engineering problems in an effective way at an industrial level. The artificial cognitive control architecture that we propose, based on the shared circuits model of socio-cognitive skills, seeks to overcome limitations from the perspectives of computer science, neuroscience and systems engineering. The design and implementation of artificial cognitive control architecture is focused on four key areas: (i) self-optimization and self-leaning capabilities by estimation of distribution and reinforcement-learning mechanisms; (ii) portability and scalability based on low-cost computing platforms; (iii) connectivity based on middleware; and (iv) model-driven approaches. The results of simulation and real-time application to force control of micro-manufacturing processes are presented as a proof of concept. The proof of concept of force control yields good transient responses, short settling times and acceptable steady-state error. The artificial cognitive control architecture built into a low-cost computing platform demonstrates the suitability of its implementation in an industrial setup.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainDPI2012-35504CONMICROUnspecifiedUnspecified

More information

Item ID: 43641
DC Identifier: http://oa.upm.es/43641/
OAI Identifier: oai:oa.upm.es:43641
DOI: 10.1016/j.compind.2015.05.001
Official URL: http://www.sciencedirect.com/science/article/pii/S0166361515300014
Deposited by: Memoria Investigacion
Deposited on: 03 Apr 2017 16:16
Last Modified: 10 Jun 2019 12:50
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