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ABSTRACT This paper describes how a mobile robot (a six-wheeled Koala
equipped with a PAL pan-tilt camera) can chase an elusive target (a
remote controlled toy car) in a unknown and unconstrained environment.
First, the paper demonstrates the efficiency, simplicity, and adequacy
of Bayesian robot programming to quickly develop such applications.
Next, it illustrates that a high information compression ratio may be
obtained by some pertinent sensory-motor decoupling