Connectionist robot motion planning: a neurally-inspired approach to visually-guided reaching
Connectionist robot motion planning: a neurally-inspired approach to visually-guided reaching
Experiences with an interactive museum tour-guide robot
Artificial Intelligence - Special issue on applications of artificial intelligence
Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Kalman Filtering and Neural Networks
Kalman Filtering and Neural Networks
Imagination and Situated Cognition
Imagination and Situated Cognition
Scientific Methods in Mobile Robotics
Scientific Methods in Mobile Robotics
Internalized plans: A representation for action resources
Robotics and Autonomous Systems
Experiences with cicerobot, a museum guide cognitive robot
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
IEEE Transactions on Robotics
An approach for the design of self-conscious agent for robotics
AMT'10 Proceedings of the 6th international conference on Active media technology
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The paper discusses a model of robot perception based on a comparison loop process between the actual and the expected robot input sensory data generated by a 3D robot/environment simulator. The perception loop process is operating in CiceRobot, a functional robot architecture implemented on an autonomous robot RWI B21 offering guided tours at the Archaeological Museum of Agrigento, Italy.