Markov Localisation for Probabilistic Behaviour Activation

Probabilistic methods offer the necessary tools with a soun d theoretical basis for handling self localisation but they are generally applied to rigid environment representa tions and thereby, they are hardly capable of coping with dynamic environments. Our current research effort aim s to narrow the gap between behaviour based navigation and probabilistic methods. This paper presents a di tributed self-localisation system in semi-structure d environments.