Title: A conscious model for autonomous robotics: statistical evaluation
Authors: Daniela Lopez De Luise; Lucas Martín Rancez; Nelson Biedma; Bernardo De Elía
Addresses: Computational Intelligence and Information Systems Lab (CI2S Lab), Buenos Aires, Argentina ' Computational Intelligence and Information Systems Lab (CI2S Lab), Buenos Aires, Argentina ' Computational Intelligence and Information Systems Lab (CI2S Lab), Buenos Aires, Argentina ' Escuela Superior Técnica, Facultad de Ingenieriá del Ejército, Buenos Aires, Argentina
Abstract: Autonomous mobile robots require efficient control of their movement. This paper focuses on a prototype based on COdelet FRAMework (COFRAM) consciousness model for autonomous mobile robots. The prototype is named Movement Of Autonomous Robotics Codelet System (MARCOS). Here is an in-depth analysis of this nonlinear controller that complements a main close-loop controller. It performs complex information processing about the current robot status and environment, and suggests alternative reactions to the main controller. This paper describes MARCOS and COFRAM, as well as statistics on how concepts evolve for real-world indoor environments. From the results, it can be said that it is a suitable adaptive controller for learning situations.
Keywords: consciousness models; autonomous robots; mobile robots; codelets; COFRAM; indoor environments; adaptive learning; modelling; robot control; nonlinear control; adaptive control.
International Journal of Advanced Intelligence Paradigms, 2015 Vol.7 No.1, pp.82 - 107
Received: 06 Mar 2014
Accepted: 09 Jun 2014
Published online: 02 Jul 2015 *