/auav_2022_sample

Example for AUAV 2022 with obstacle avoidance.

Primary LanguageJupyter Notebook

AUAV 2022 Sample

This is a sample PX4 based quadrotor path planning framework based on Ubuntu 20.04 and ROS noetic for the IEEE Autonomous UAS 2022 competition.

You will need to install xterm and the standard PX4/gazebo requirements.

sudo apt install xterm

Build the catkin workspace.

pip3 install pymavlink --user
mkidr ~/catkin
cd ~/catkin
mkdir src
cd src
git clone https://github.com/jgoppert/auav_2022_sample.git
git submodule update --init --recursive
catkin build

Run the simulation for each trial.

Note: To fly PX4 you will need to have QGroundControl running and manually arm it and put it in offboard mode. For the competition we do not want your scirpts to do this automatically. For testing and in simulation, you can have a script that manually arms the drone and puts it in offboard mode.

We are following this safety procedure so that the pilot will have the only authority to arm the drone and switch the mode to offboard from the RC transmitter.

cd ~/catkin
. ./devel/setup.bash
roslaunch auav_2022_sample sim.launch world:=worlds/trial_1.world 
roslaunch auav_2022_sample sim.launch world:=worlds/trial_2.world 
roslaunch auav_2022_sample sim.launch world:=worlds/trial_3.world 
roslaunch auav_2022_sample sim.launch world:=worlds/trial_4.world

Please adapt your code to work with this framework, we expect to launch each drone with the command:

roslaunch auav_2022_sample live.launch

Path Planning

Two examples of path planning libraries are included that use the depth camera information:

  • PX4 avoidance: Uses VFH3D+ approach, simple approach, not very robust
  • path planning: Uses octomap and OMPL library for (RRT), could be improved to use Quadrotor dynamics