Usage
Warning
Do not forget to source your ROS 2 workspace in each terminal you would like to use it
. install/local_setup.bash
Warning
If you work in a shared network (lab, classroom) or similar, you might want to avoid controlling other robots. This is in particular true for simulation. In this case, you can use
export ROS_LOCALHOST_ONLY=1
export ROS_DOMAIN_ID=<unique number between 0 and 101>
The first environment variable restricts ROS to your local machine. The second is useful if you have multiple user accounts on the same machine (e.g., a shared workstation computer). In such case, each user should use a unique domain ID.
Configuration
All configuration files are in crazyflie/config.
crazyflies.yaml : setting up everything related to the robots.
server.yaml : setting up everything related to the server.
motion_capture.yaml : configs for the motion capture package.
teleop.yaml : configs for remote controls.
crazyflies.yaml
Each crazyflie should have an unique URI which can be changed in Bitcraze’s CFclient. They can also be enabled in case you don’t want the server to connect with it.
robots:
cf231:
enabled: true
uri: radio://0/80/2M/E7E7E7E7E7
initial_position: [0, 0, 0]
type: cf21 # see robot_types
cf5:
enabled: false
uri: radio://0/80/2M/E7E7E7E705
initial_position: [0, -0.5, 0]
type: cf21 # see robot_types
The yaml file also contains different robot_types, to indicate differences between each platform:
robot_types:
cf21:
motion_capture:
enabled: true
# only if enabled; see motion_capture.yaml
marker: default_single_marker
dynamics: default
big_quad: false
battery:
voltage_warning: 3.8 # V
voltage_critical: 3.7 # V
cf21_mocap_deck:
motion_capture:
enabled: true
# only if enabled; see motion_capture.yaml
marker: mocap_deck
dynamics: default
big_quad: false
battery:
voltage_warning: 3.8 # V
voltage_critical: 3.7 # V
The yaml file also contain an ‘all’ field, in case you have parameters or logging that you want enabled for all the connected crazyflies.
all:
firmware_logging:
enabled: false
default_topics:
pose:
frequency: 10 # Hz
#custom_topics:
# topic_name1:
# frequency: 10 # Hz
# vars: ["stateEstimateZ.x", "stateEstimateZ.y", "stateEstimateZ.z", "pm.vbat"]
# topic_name2:
# frequency: 1 # Hz
# vars: ["stabilizer.roll", "stabilizer.pitch", "stabilizer.yaw"]
firmware_params:
commander:
enHighLevel: 1
stabilizer:
estimator: 2 # 1: complementary, 2: kalman
controller: 2 # 1: PID, 2: mellinger
The above also contains an example of the firmware_logging field, where default topics can be enabled or custom topics based on the existing log toc of the crazyflie. Moreover, it also contains the firmware_params field, where parameters can be set at startup. Also see the parameter list of the crazyflie for that.
Mind that you can also place the firmware_params and firmware_logging fields per crazyflie in ‘robots’ or the ‘robot_types’ field. The server node will upon initialization, first look at the params/logs from the individual crazyflie’s settings, then the robot_types, and then anything in ‘all’ which has lowest priority.
Positioning
The Crazyflie can be positioned in different ways, including motion capture and onboard positioning. This blogpost provides a good overview of the different positioning systems if you are unsure about which one you are using: Positioning System Overview.
Motion capture
If you have a motion capture system, you can input the specifics in the motion_capture.yaml file.
/motion_capture_tracking:
ros__parameters:
type: "optitrack"
hostname: "optitrackPC"
‘Type’ can replaced by “optitrack”, “vicon”, “qualisys” or any of the other supported motion capture systems of the motion capture tracking package. ‘hostname’ is the hostname of the computer running the motion capture software which can either be the PC name or the IP.
Also make sure that in crazyflies.yaml, the motion_capture field is enabled for the specific robot type, or that the crazyflie is of a type that supports motion capture.
robot_types:
cf21:
motion_capture:
enabled: true
For more indepth information about the motion capture tracking package, see the documentation.
Onboard positioning
The Crazyflie also supports several alternative positioning systems that provide direct onboard position or pose estimation. In this case you do not need to receive positioning from an external system like with MoCap.
Instructions per positioning system:
The Loco positioning system - Follow Bitcraze’s tutorial on LPS here.
The Lighthouse positioning system - Follow Bitcraze’s tutorial on Lighthouse here. Make sure to review the system management for saving and loading a system config, such that you don’t have to redo the basestation geometry estimation for each crazyflie.
The Flow deck - Follow Bitcraze’s tutorial on the flowdeck here. Note that the flow deck provides an relative positoing estimate and might conflict when you are flying with crazyswarm2 if you are flying with absolute coordinates instead of relative ones.
Also in this case, make sure that motion_capture is disabled in the crazyflies.yaml file:
robot_types:
cf21:
motion_capture:
enabled: false
Also it is a good idea to turn on pose estimation logging such that you are able to see the poses and transforms of the Crazyflie updated in real life in rviz or the Swarm management gui.
firmware_logging:
enabled: true
default_topics:
pose:
frequency: 10 # Hz
Moreover, be aware that the motion capture node is enabled in the launch file by default, which can be turned off by adding ‘mocap:=False’ to the launch command.
Simulation
Any usage of the ROS API, including high-level Python scripts, can be visualized before execution. The initial position and number of robots is taken from the crazyflies.yaml configuration file. The simulation uses the firmware code as software-in-the-loop, and can optionally include the robot dynamics. The configuration of the simulation (physics simulator, controller, etc.) can be changed in server.yaml.
Example:
[terminal]$ ros2 launch crazyflie_examples launch.py script:=hello_world backend:=sim
which is a short-hand for the following two commands:
[terminal1]$ ros2 launch crazyflie launch.py backend:=sim
[terminal2]$ ros2 run crazyflie_examples hello_world --ros-args -p use_sim_time:=True
Physical Experiments
Teleoperation controller
We currently assume an XBox controller (the button mapping can be changed in teleop.yaml). It is possible to fly in different modes, including attitude-control and position-control (in which case any localization system can assist.)
ros2 launch crazyflie launch.py
Python scripts
In the first terminal run the server, in the second the desired script. You may run the script multiple times or different scripts while leaving the server running.
[terminal1]$ ros2 launch crazyflie launch.py
[terminal2]$ ros2 run crazyflie_examples hello_world
If you only want to run a single script once, you can also use:
[terminal]$ ros2 launch crazyflie_examples launch.py script:=hello_world
Swarm Management
The launch file will also start a swarm management tool that is a ROS node and web-based GUI. In the upper pane is the location of the drone visualized in a 3D window, similar to rviz. In the lower pane, the status as well as log messages are visible (tabbed per drone). In the future, we are planning to add support for rebooting and other actions.