Decision-theoretic multisensor planning and integration for mobile robot navigation

Abstract

A decision-theoretic approach to multisensor planning and integration is investigated. The decision-theoretic framework allows for rational decision making under uncertainty and furthermore a highly modular system description that facilitates easy system integration. Experiments with a real robot show that the decision-theoretic sensor planner is capable of making rational real-time decisions about sensor use in an autonomous mobile robot context.