Experiences with CiceRobot, a Museum Guide Cognitive Robot

Abstract. The paper describes CiceRobot, a robot based on a cognitive architecture for robot vision and action. The aim of the architecture is to integrate visual perception and actions with knowledge representation, in order to let the robot to generate a deep inner understanding of its environment. The principled integration of perception, action and of symbolic knowledge is based on the introduction of an intermediate representation based on Gärdenfors conceptual spaces. The architecture has been tested on a RWI B21 autonomous robot on tasks related with guided tours in the Archaeological Museum of Agrigento. Experimental results are presented.

• Type: Conference
• Year: 2005
• Where: AIIA
• Authors: Irene Macaluso, Edoardo Ardizzone, Antonio Chella, Massimo Cossentino, Antonio Gentile, R. Gradino, Ignazio Infantino, Marilia Liotta, Riccardo Rizzo, Giuseppe Scardino
• Keywords: AIIA 2005, Artificial Intelligence, Deep Inner Understanding, Robot, Robot Vision