Active localization techniques for mobile robots in the real world

Abstract

Active localization is the best cost-effective technique for mobile robotics in the real world: it allows accurate positioning in different environments with great flexibility and minimal environmental impact. In this paper different techniques to reach an accurate positioning with active localization systems are presented. Static and dynamic localization paradigms have been considered separately and solutions for both cases are presented. Simulation and experimental results in real environments are also discussed.