ROS package for the ROB 301 project simulation environment. Provides a Gazebo world in which the labs can be completed.
Clone the repository into your catkin workspace:
git clone https://github.com/brandonwagstaff/rob301_simulation
You need to tell Gazebo where to find any custom models. Add the following
line to your .bashrc
:
export GAZEBO_MODEL_PATH=<path_to_catkin_ws>/src/rob301_simulation/models:$GAZEBO_MODEL_PATH
where you've replaced <path_to_catkin_ws>
with the actual path.
Build and source the workspace as per usual ROS procedure.
Once the workspace has been built and sourced, just run
roslaunch rob301_simulation lab_x.launch
to launch the world.
You can, of course, view all ROS topics using rostopic list
. Topics for the
front-facing camera are prefixed with /camera
, while the topics for the
side-facing camera are prefixed with /head_camera
.
- [] Update model from Turtlebot2 to Turtlebot3 - ideally we can set up a downward facing camera, and the 2D lidar.
- [] Finalize a strategy for providing students access to the virtual labs.
- Set up a server with ROS that students can access via SSH: we will be using the Myhal PCs for this
- [] Testing gzweb for gazebo visualization via a web browser
- [] Testing other graphical ssh options like X11 forwarding
- Figure out how to add custom 'tape' patterns on the ground plane for path-following purposes
- [] Create environments for each lab:
-
[] Lab 1 - Turtlebot3 Intro:
- [] Gazebo world: Very simple world needed - add a few features to test out the robot in simulation
- [] Lab report update to introduce the Gazebo simulation
-
[] Lab 2 - Pose-to-Pose Control:
- [] Gazebo world: add markers on floor to indicate starting and final poses
- [] Updates to the lab report
-
[] Lab 3 - Path-Following (PID Control):
- [] Gazebo world: create a practice world with smaller tracks for students to implement their controllers
- [] Gazebo world: create a race world with the simulated racecourse - will need to think how this can be done - either students can practice on this as much as they would like, or we can withhold the course and they can send us code to run
- [] Update the existing line detection node to work in simulation
- [] Updates to the lab report
-
[] Lab 4 - Kalman Filtering:
- [] Gazebo world: Add a pillar (or possibly even model a CN tower), and any other desired aesthetics
- [] Implement the planar lidar node
- [] Updates to the lab report
-
[] Project
-
- Tested with Gazebo 7.0 with ROS Kinetic on Ubuntu 16.04.