A conscious model for autonomous robotics: Evaluation of a proposal Daniela Lopez De Luise 1 , Lucas Martn Rancez 1 , Nelson Biedma 1 , Gabriel Barrera 1 , David Trejo Pizzo 1 and Leonardo Isoba 1 1 AIGroup, Palermo University, Mario Bravo 1050, Buenos Aires, Argentina info@tbrain.com.ar Keywords: Autonomous Mobile Robots, Consciousness, Indoor Mobile Robot Abstract: Autonomous mobile robots require efficient control of their movement. This paper focuses on a prototype implementing a consciousness model for autonomous mobile robots. The prototype is named FIC (Fluent Interactive Codelets framework). Here is an in-depth analysis of this secondary controller that complements the main close-loop controller providing complex information about the current robot status, and suggesting alternative actions. This paper describes the FIC prototype and its conscious subsystem, as well as statistics on how Concepts can model real-world indoor environments. 1 INTRODUCTION Mobile robots may be studied in outdoor or indoor environments. This paper describes part of an indoor mobile robot prototype named FIC (Fluent Interac- tive Codelets framework). It uses Concept Learn- ing (based on Conscious technology) to process sev- eral movement parameters. The main goal of the FIC module is to provide the robot’s close-loop con- troller with recommendations about which commands should be performed next. Because autonomous mo- bile robots must navigate in dynamic environments, they require a large collection of environmental infor- mation, efficient storage and good processing capabil- ities. In the following sections, there is a description of the basic features of the Concept Model (section 2), a general overview of the problem solving strategy used by FIC (section 3), the benefits of working with FIC (section 4), and the status of the implementation and future work (section 5). 2 THE CONCEPT MODEL FIC is a prototype of a homonymous project. It uses AlgOC, a subsystem that aims to be an im- plementation of a Conscious Model (Baars, 1998) (Baars and Franklin, 2003) (Baddeley and Hitch, 1974) (A. H. Varela and E.Rosch, 1991) (S. Franklin and Ventura, 2005) (S. A. Sloman and Keil, 1999). AlgOC was inspired by LIDA (Franklin and Pat- terson, 2006) (Baars and Franklin, 2009) and FLEXO (Vanschoren, 2004). It contains some of their func- tionalities, but there is an important difference with them: AlgOC is not intended to be a concrete con- scious model, rather a framework for defining con- scious models according to specific problems. Ar- tifacts are components of a meta-model framework. This meta-model was used to define a specific model that let, for example, a robot move around even with basic abilities. 3 FIC PROTOTYPE This paper focuses on FIC, which is an implementa- tion of AlgOC for an autonomous indoor mobile robot adviser with obstacle Conceptualization for dynamic environments (H. Zendera and Burgardb, ) (Barsalou, 1999) (Glenberg, 1997) (A. Baddeley and Aggleton, 2001). This project contributes to the field as follows: • The project applies Conceptual Learning theories to robotics. One goal is to evaluate statistical information about the robots performance using such implementations. • The model enables a simple robot to adapt itself to controlled dynamic environments. The robot calculates paths to certain targets.