An approach for the design of self-conscious agent for robotics

Authors:
Antonio Chella;Massimo Cossentino;Valeria Seidita;Calogera Tona
Affiliations:
Dipartimento di Ingegneria Informatica, Universitá degli Studi di Palermo, Palermo, Italy;Istituto di Calcolo e Reti ad Alte Prestazioni, Consiglio Nazionale delle Ricerche, Palermo, Italy;Dipartimento di Ingegneria Informatica, Universitá degli Studi di Palermo, Palermo, Italy;Dipartimento di Ingegneria Informatica, Universitá degli Studi di Palermo, Palermo, Italy
Venue:
AMT'10 Proceedings of the 6th international conference on Active media technology
Year:
2010

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Abstract

Developing complex robotic systems endowed with selfconscious abilities and subjective experience is a hard requirement to face at design time. This paper deals with the development of robotic systems that do not own any a-priori knowledge of the environment they live in and proposes an agent-orientd design process for modelling and implementing such a systems by means of implementing the perception loop occurring between environment, body and brain during subjective experience. A case study dealing with a robocup setup is proposed in order to describe the design process activities and to illustrate the techniques for making the robot able to autonomously decide when an unknown situations occurs and to learn from experience.