Chasing an elusive target with a mobile robot

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.