"ModernCV" CV and Cover Letter
Version 1.1 (9/12/12)
This template has been downloaded from:
Xavier Danaux (firstname.lastname@example.org)
CC BY-NC-SA 3.0 (http://creativecommons.org/licenses/by-nc-sa/3.0/)
Localization is the challenge of determining the robot's pose in a mapped environment. This is done by implementing a probabilistic algorithm to filter noisy sensor measurements and track the robot's position and orientation. This paper focuses on localizing a robot in a known mapped environment using Adaptive Monte Carlo Localization or Particle Filters method and send it to a goal state. ROS, Gazebo and RViz were used as the tools of the trade to simulate the environment and programming two robots for performing localization.