VI EIC PIn - Ifal - Modelo projeto
Modelo de submissão de projeto para o VI Encontro de Iniciação Científica que ocorrerá de 30 de Novembro a 04 de Dezembro de 2020 de forma online promovido pelo Ifal Palmeira.
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.