Selecting targets for local reference frames

Abstract

Addresses the problem of seeking out parts of the environment that provide adequate features in order to perform robot localization. The objective is to choose good regions in which local metric maps can be established. A distinctiveness measure is defined as a measure of how well the environment allows the robot to accomplish a task, in our case the task being localization. The distinctiveness measure is evaluated as a function of both the localization strategy and the environment. Areas in the environment are considered to have high distinctiveness measures if they exhibit both sufficient spatial structure and good sensor feedback. The problem is treated as defining an evaluation criterion based on the usefulness of gathered information.