A cognitive architecture for artificial vision
Artificial Intelligence
Experiences with an interactive museum tour-guide robot
Artificial Intelligence - Special issue on applications of artificial intelligence
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence
Modern Information Retrieval
Modeling ontologies for robotic environments
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Lens distortion calibration using point correspondences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Reformulation of the theory of conceptual spaces
Information Sciences: an International Journal
A cognitive architecture for robot self-consciousness
Artificial Intelligence in Medicine
The perception loop in CiceRobot, a museum guide robot
Neurocomputing
Agent-oriented software patterns for rapid and affordable robot programming
Journal of Systems and Software
Human-aware robot navigation: A survey
Robotics and Autonomous Systems
Hi-index | 0.00 |
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.