3rd project for Robotics Software Engineer Nanodegree @Udacity
This project uses the Adaptative Monte Carlo Localization package to localize a differential drive mobile robot in a 4x2 meters performance environment.
The Gazebo world design intends to replicate the WorldSkills Mobile Robotics next challange in a simplified version. For more information please take a look on a brief competition overview at the end.
$ cd /home/workspace/
$ mkdir -p /home/workspace/catkin_ws/src/
$ cd catkin_ws/src/
$ catkin_init_workspace
$ cd ..
$ cd /home/workspace/catkin_ws/src/
$ git clone https://github.com/TheodoroCardoso/where-am-i.git
$ cd /home/workspace/catkin_ws/
$ catkin_make
$ cd /home/workspace/catkin_ws/
$ source devel/setup.bash
$ roslaunch my_robot world.launch
Open a new terminal and type the following:
$ cd /home/workspace/catkin_ws/
$ source devel/setup.bash
$ roslaunch my_robot amcl.launch
WorldSkills Is the world's largest TVET competition that happens every 2 years in a different country.
Last event was in Kazan, Russia and had over 60 different skills from bakery to hairdressing to mobile robotics.
The next edition which will take place in Shanghai, China 2022.
The competition is based on a robotics kit to level the playing field between different countries.
In previous years LabVIEW was the mandatory programming language, but for the next edition the hardware has changed and more options like ROS are available.
The WS Shanghai 2022 challange simulates a hospital.
In the actual competition teams will develop mobile robots that have to carry medicines and hazardous materials represented by colored cubes and gurneys represented by a four wheeled chassis.