Active particle in MCL: An evolutionary view

Abstract

Mobile robot localization is the task of determining a robot's pose in a known environment, which is one of the most important problems in mobile robotics. The state-of-the-art Monte Carlo Localization (MCL) algorithm requires a large amount of particles and thus converges slowly. Also, MCL performs poorly in low noise sensor input.