Adaptive concurrent mapping and localization using sonar

Abstract

In order to create a truly autonomous vehicle, the task of concurrent mapping and localization (CML) in an a priori unknown environment is an important problem. Traditionally, the task of CML has been separated from the vehicle's motion and sensing strategies. We introduce a method for adaptive concurrent mapping and localization in unknown environments using a scanning sonar sensor. This method maximizes the information gained by the next action of the robot, given the space of available actions. The viability of the approach is shown in simulation and experiments. Results are shown for both adaptive control of motion and adaptive control of motion and sensing. Improved performance is demonstrated in comparison to straight-line motion and random motion.