Category: Documentation

We have worked hard last week to get a new fresh release out before the summer months are on our doorstep. Not only that we would like to make sure that important bugs are fixed before some of us go on our holiday, but also to be able to display our new AI deck features! Here is an overview of what has been changed

AI deck over air flashing

As you can probably see in the release notes of both the python libraries and the firmware, most of our changes are focused on making it possible to develop for the AI deck without using a programmer all the time. If the STM and NRF firmware of the Crazyflie is fully updated, and the ESP firmware on the AI deck, it should now be possible to flash an AI deck example binary with a Crazyradio! For older versions of the AI deck 1.X (Rev A to C) it is unfortunately still necessary to use the JTAG programmer one last time to flash a bootloader on the GAP8, but after that it should not be needed anymore.

Please check out the new update AI deck tutorial for setting up the AI deck for this new functionality.

Crazyflie Packet eXchange (CPX)

In the light of the work we have done for the AI deck, we also have started to implement a new, inter MCU protocol called the Crazyflie Packet Exchange. Since with the AI deck, we are adding 2 additional microprocessors to the Crazyflie architecture, it was crucial to handle the communication between all platforms and communication channels properly. Currently the functionality is mostly enabled to tailor Wifi streaming and console printouts for the AI deck, but it is meant to be a generic protocol which in the future, should be able to handle more combinations like for instance, command messages through wifi?

You can read about CPX in the crazyflie-firmware repository doc and we will be writing a more detailed blogpost about this later.

Controller Python bindings

For the last part of the Grand tour trip, we had a hackathon with the IMRC lab of TU Berlin and our close collaborator Wolfgang Hönig, in which we managed to convert the PID controller, Mellinger controller and the motor mixing into python bindings, which can be used in the experimental simulator of the Crazyflie.

There is no Pypi release of these, you will need to pull the latest crazyflie-firmware repo and build the bindings with ‘make bindings_python’

Additional fixes

We have some additional fixes to both the python libraries and firmware. For the STM we have updated the STD peripheral library and solved several build issues. For the cfclient, we fixed a lot of issues that were caused by either the latest version of python, as it was more stricter with type definitions, and some issues QT. Moreover, the LED ring headlight functionality has been restored, and the cfbridge.py script, used for the PX4 crazyflie 2.1 tutorial, is re-added, since it suddenly disappeared a few releases ago.

Update and Feedback

Make sure to update your cfclient with ‘pip install cfclient –upgrade’ and to reflash the new stable firmware. For AI deck users, try out our our new tutorial to try out both CPX, the over air flashing and the wifi example. The new AI deck functionalities has been subjected to some limited testing so if there is anything wrong or unclear, please let us know in the forum! The feedback will help the AI deck to become a more stable product for development, so we would be very grateful if you would be able to help out with that.

This week we merged a pretty big change in the Crazyflie firmware code repository. The change altered the way we configure and build what goes in to the drone. We now make use of the Kbuild build system.

The Kbuild build system is the build system used, foremost, by the Linux kernel, but is also used in other projects like Busybox, U-Boot and sort of Zephyr. It is mostly known from its terminal based configuration tool, menuconfig.

A view of the Expansion deck configuration in the menuconfig

Kbuild leverages Kconfig files to build up an hierarchy of configuration options to use when building the software. It allows you to setup dependencies between your configuration, allowing us to do things like only enable the Kalman filter when there is a deck driver that needs it enabled.

This new way of building the firmware replaces the old way of using config.mk to set the build defines you need. Our hope is that Kbuild will make it easier to customize the Crazyflie firmware to fit the need of your department or project.

What does this mean for you?

If you are not changing the firmware as part of your Crazyflie development this will not change anything for you. The Python library will continue to work just like before and Bitcraze will release official firmwares, just like before.

If you are in the habit of fetching and building the latest and greatest version of the Bitcraze firmware there will be some minor changes. This can be seen in our updated build documentation on the web. The biggest deal is that the firmware code needs a configuration file before building is possible. To get the default one you can go:

$ make defconfig
make[1]: Entering directory '/home/jonasdn/sandbox/kbuild-firmware/build'
  GEN     ./Makefile
scripts/kconfig/conf  --defconfig Kconfig
#
# configuration written to .config
#
make[1]: Leaving directory '/home/jonasdn/sandbox/kbuild-firmware/build'

The way to compile app-layer applications has changed a bit and you will need to adapt (sorry!) the new way of building your app-layer application can be seen in the updated documentation.

If you make heavy use of config.mk and frequently change code in the firmware there are many new possibilities for you. Check the documentation and keep reading this blog.

Making the firmware more modular

With the new build systems help we hope to make it easier to enable and disable features and sub systems in the quad copter. In the default firmware all drivers for all expansion decks are included, as well as all estimators. If you are pushing a feature or experiment that need more RAM or flash, that might be inconvenient for you.

As an experiment we can try building the current maximum-, minimum- and default configuration of the Crazyflie. We say current because the work to make the firmware more modular is ongoing.

The default configuration, the official firmware, we can obtain by invoking the special make command defconfig.

$ make defconfig

And building the maximum is done using allyesconfig this gives us configuration file with all options enabled.

$ make allyesconfig

And conversely the minimum configuration can be set using allnoconfig, which will disable all features that can be disabled.

$ make allnoconfig

The resulting firmware sizes can seen in the table below:

BuildFlashRAMCCM
defconfig232 Kb (23%)76 Kb (59%)57 Kb (89%)
allyesconfig428 Kb (42%)80 Kb (62%)57 Kb (90%)
allnoconfig139 Kb (14%)62 Kb (48%)45 Kb (71%)

This shows some of the potential of the modularization of the firmware. We hope it will make it easier for you to get your stuff to fit, without having to hack around in the code too much.

Making it easier for us to merge your contributions

The new system makes it easier include code in the firmware repository without necessary needing to include it in the official firmware. This will make it easier for us to merge controllers, estimators, algorithms, deck drivers and other stuff from you.

We can include them in our Kconfig files, allowing people to select them and build firmware using them and we can make sure they get (at least compile) tested as part of our continuous integration. So you can sleep soundly knowing your code will not suddenly break with new versions of the firmware.

Creating and distributing your own config

If you want to create your own configuration, and spread it around you can do so.

You can use:

$ make menuconfig

To create a base .config file with your special configuration. If you copy the file, or have us merge it, to the configs/ directory.

$ cp build/.config configs/waggle-drone_defconfig

Then it will be possible for other people to build your configuration by going:

$ make waggle-drone_defconfig
make[1]: Entering directory '/home/jonasdn/sandbox/kbuild-firmware/build'
  GEN     ./Makefile
#
# configuration written to .config
#
make[1]: Leaving directory '/home/jonasdn/sandbox/kbuild-firmware/build'

But it would also be possible to just add the configuration that differ with the default configuration to your config file:

$ echo CONFIG_PLATFORM_BOLT=y > configs/waggle-drone_defconfig

$ make waggle-drone_defconfig

$ grep PLATFORM build/.config
# CONFIG_PLATFORM_CF2 is not set
CONFIG_PLATFORM_BOLT=y
# CONFIG_PLATFORM_TAG is not set

Help out and test it please!

This is quite a big change and we are still shaking out bugs. Please give it a test run and report any issues you find!

If you want to help out, there is a GitHub project that contain the issues we know about, feel free to grab one and contribute your solution!

Happy hacking!

You might, or might not have heard about a tool called Wireshark, it is quite popular in the software development world.

The wireshark official logo


Wireshark is a free and open-source packet analyzer. It is used for network troubleshooting, analysis, communications protocol development and education. It makes analyzing what is going on with packet based protocols easier.

Most often Wireshark is used for network based protocols like TCP and UDP, to try to figure out what is happening with your networking code. But! Wireshark also allows you to write your own packet dissector plugin, this means that you can register some code to make Wireshark handle your custom packet based protocol.

For the latest release of the Crazyflie Python Library we added support for generating a log of the Crazy Real Time Protocol (CRTP) packets the library sends and receives. This is the (packet based) protocol that we use to communicate with the Crazyflie via radio and USB.

We generate this log in the special PCAP format that Wireshark expects. And we also created an initial version of a dissector plugin, written in the programming language LUA.

When we put this two things together it turns into a pretty cool way of debugging what goes on between your computer and the Crazyflie!

What does it look like?

Wireshark gives you a graphical interface where you can view all the packets in a PCAP file. You will see the timestamps of when they arrived. Selecting a packet will give you the information that the dissector has managed to deduce as well as how the packet looked on the wire.

On top of that you get powerful filtering tools. In the below image we have set a filter to view only packets that are received or sent on the CRTP port 8, which is the port for the High level commander. This means that from a log file that contain 44393 packets we now only display 9. Which makes following what goes on with high level commands a bit easier.

Wireshark view of filtering out packets on CRTP port 8

The dissector knows about the different types of CRTP ports and channels and knows how to dissect an high level set-point, as seen by the image above.

What can this be used for?

This functionality is, we think, most useful for when developing new functionality in the Crazyflie firmware, or in the library. You can easily inspect what the library receives or sends and make sure it matches what your code indented.

But it can also be useful when doing client type work! We recently located the source of a bug in the Crazyflie client with the use of this Wireshark plugin.

It was when updating the Parameter tab of the client to handle persistent parameters, and to use a sidebar for extra documentation and value control. As I was testing the code I noticed that every time I changed the value of ring.effect to a valid integer and then disconnected and reconnected, the value was set to 0. Regardless of the value I had set.

I recorded a session using the PCAP log functionality:

$ CRTP_PCAP_LOG=ring.pcap cfclient

And the I fired up wireshark:

$ wireshark ring.pcap

It was now possible for me to track what the library and firmware thought was going on with the ring.effect parameter, by tracking the crtp.parameter_varid field using Wireshark. Filtering down from from 3282 packets to 12 packets.

I had earlier figured out that the varid of the ring.effect variable was 183. This is a quasi-internal representation of a parameter that we do not expose in a good way. In the future we will try to make this Wireshark tracking work with the parameter name as well.

Looking at the write parameter packet from USB #3 to the Crazyflie I could see where I set the value of the parameter to 5, so far so good.

Wireshark view of checking my setting of the ring.effect parameter to 5

The surprising part however was seeing a write further down setting the parameter to 0! This mean that something in the client was actually setting this to zero!

Wireshark view of something setting the ring.effect parameter to 0

After seeing this, locating the actual issue was trivial. I noticed that the Flight Control tab was setting the ring.effect parameter to the current index of the combo box in the UI. And when no LED-ring deck was attached, this amounted to always setting the value to zero.

But having confirmation that this was something happening on the client side, and not some kind of bug with the new persistent parameters was very helpful!

How do you use this?

We have added documentation to the repository documentation for the library on how to generate the PCAP log and how install the Wireshark plugin.

But the quick-start guide is this:

  • Copy the tools/crtp-dissector.lua script to the default Wireshark plugin folder
    • Windows: %APPDATA%\Wireshark\plugin or WIRESHARK\plugins
    • Linux: ~/.local/lib/wireshark/plugins
  • Restart Wireshark or hit CTRL+SHIFT+L
  • Set the environmental variable CRTP_PCAP_LOG to the filename of the PCAP log you want to generate
  • Run Wireshark with the filename as an argument

And please report any issues you find!

Happy hacking!

We are thrilled to announce the new 2022.1 release of the Crazyflie firmwares, library and client! There have been a lot of bug fixes, polishing and new features and we are glad we finally get to share it with all of you.

Noteworthy features and fixes

The features and fixes listed here is only a subset of all the bug fixes and other additions we have done in the last six months. For a more complete view, please check the release notes on GitHub.


Crazyflie STM firmware — Main firmware

Release notes on GitHub


Crazyflie NRF firmware — Radio and power management

Release notes on GitHub

  • We now report the version of the NRF firmware on the Crazyflie console

Crazyflie Python library — The official Python API

Release notes on GitHub


Crazyflie Client — The Crazyflie PC client

Release notes on GitHub

  • Rework of the Parameters tab
    • To better show parameter documentation and to include persistent functionality
Image of the Crayzflie PC client with new parameter tab
New Parameters tab with filtering search and sidebar with more information about values

Documentation

Along with all the new features, bug fixes and general polish of our software we have also spent time making sure our documentation is up-to-date and relevant! You can check it out on our website. Do not forget to check out the individual repositories documentation. And the tutorial page has gotten some love this cycle, check it out!

Please go forth and install this new release and please file issues with any problem you find!

Where to get it?

The firmware images for the Crazyflie STM firmware and the Crazyflie NRF firmware should already be available through the cfclient. And if you want to download them yourself you can find them at https://github.com/bitcraze/crazyflie-firmware/releases.

The Crazyflie Client and the Crazyflie Python library are available through Pypi (The Python Package Index), to install them you can use the following commands:

$ python3 -m pip install --upgrade cfclient # to install or upgrade the Crazyflie client

$ python3 -m pip install --upgrade cflib # to install or upgrade the Crazyflie Python library

Happy hacking!

We have recently worked on functionality in our web site to generate documentation from source in a few ways that we hope will improve the quality as well as simplify maintenance. We have already written a bit about the log and param documentation in the crazyflie-firmware repository, but we now also added and API reference in the python library as well as generating a list of publications related to the Crazyflie.

The Log and Param documentation

Earlier this year we worked on generating documentation for Log and Params from doxygen comments. We will not dig deeper into this here, but you can read more about it in this blog post. The latest version is available on our web in the repository documentation for the crazyflie-firmware: logs and params

An API reference for our Python library

The Crazyflie Python library is what you might use to create programs that interact with the Crazyflie, for instance to manage small swarms. For a while we have had introductory documentation, and step-by-step guides to show you how to perform, what we think are, common tasks.

However along the way we have also added comments and examples to our code. And this, combined with the way we have structured the library actually enables us to automagically generate reference API documentation. That is, something that shows you everything that is possible to do with the library, all modules and classes, all methods and constants that the library offers.

After some recent work this is now happening and the documentation will now get generated each time we deploy our website!

The API reference documentation can be found in the repository documentation for the library. Please check it out! And be picky, complain where the documentation is lacking! Or if the formatting seems weird! We are trying to get the hang of this and we need you to push us!

Managing publications

Some years ago we started to add publication that are related to the Crazyflie to our Research page, we hope that it might be inspiring to read about all the awesome things that the Crazyflie is used for.

Until now it has been a simple list in markdown but with an increasing number of publications it has become harder and harder to maintain it, finally we have put the work into generating the list from a BibTeX (.bib) file instead. One advantage of the new solution is that BibTeX is a well known format to the research community with lots of tools around to manage BibTeX files while another improvement is that the list will be formatted in a consistent manner (which was not always the case earlier).

If you want to add a publication to the page, simply update the .bib file with your data and create a pull request with the changes. We will merge when appropriate and the publication will become visible on the web after the next deploy, usually within a few days.

Behind the scenes

The code for generating documentation from source tends to spread out over multiple repositories and creates some complexity with a multitude of tools for different languages. It should not be necessary to understand the details and we hope the system will be easy to use for contributors to the code base.

Any questions or comments are welcome.

Happy coding!

How to handle our documentation has been always a bit of struggle. For almost 2 years (see this blogpost and this one) we have working on improving the documentation structure, with by transferring information from the wiki, putting information closer to the code and setting up automating documentation. A few months ago, we managed to have automated logging and parameter documentation (see this blogpost).

Even though we think there is some improvement already, it can always be better! We have noticed that some of our users are a bit confused of how to go through our documentation. So in this blogpost we are discussing some navigational strategies of how you can maneuver yourself through the documentation as it is presented on bitcraze.io, which can also be found here.

Ecosystem-based navigation

So more than a year ago, we also started with a Ecosystem overview page, which are meant to take first-timers by the hand through the Crazyflie ecosystem.. This type of overview pages are starting from the three main pillars: the Crazyflie Platform, the Clients and Positioning Technology. This is a type of navigation that we mostly advise to take if you are a beginner Crazyflie user who do not know the structure of the eco system fully.

The Crazyflie platform page consist of all the important elements of the Crazyflie itself. It points to which hardware components the Crazyflie has, mainly the STM32 and NRF51 processor. It also points to the the existing expansion decks with their specifications and combination possibilities. Moreover, it refers to the family tree, which currently consist of the Bolt, Roadrunner and, of course, Crazyflie 2.X. Crazyradio and Clients overview page splits up the elements in the Crazyflie Python client & library, documentation about the Crazyradio PA, and the mobile clients development documentation for both Android and IOS. And finally, the positioning technologies overview page links to the information pages of the Lighthouse Positioning System, Loco Positioning System and the Motion capture system (also check out this blogpost).

Ecosystem-based documentation navigation tree

Repository-based navigation

For those that already have experience with the Crazyflie and its Ecosystem, the previous way of navigating through the docs might be a bit convoluted. With the Ecosystem-based navigation, it takes about 3 scrolls and clicks to reach the STM development documentation, which is a bit to much of a round way if you already know what you are looking for. We have made the repository overview page not for this purpose but we actually started using ourselves a lot within the company, as a direct pathway to the development repository per element. So this is a page that would be useful to other advanced developers as well!

So the repository overview page is split up in 4 main categories: Python-based software, C-based firmware, Other languages and bootloaders. See the navigation tree which of those repositories approximately point too. By the way, have you noticed that repository documentation has a gray header (like this one) and all the overview pages on the web have a green header (like this one)? This are meant to make you aware if you are still on a fluffy overview website page or going in the nitty gritty details of the development documentation.

Repository-based navigation tree

Feature-based navigation ?

Still a remaining problem is that the repository documentation might not be enough to get a good overview. Where do you need to look if you are interested in ‘controllers’ or ‘state estimators’, or how to make an app-layer application? Currently all of this is within the stm32 firmware documentation, as that is the exact location of where all of this is implemented. But how to document spanning features like the CRTP, where not only the STM chip but also the NRF, Crazyradio PA and the Crazyflie python library are also involved? Or how about the loco positioning system, where the Crazyflie communicates through the LPS deck with a separate LPS node?

So perhaps a good way how to present all this information, is to do it feature-based, like ‘controllers’, ‘positioning’, ‘high level commander’, where we present a structure that points to parts of the detailed documentation within the repo-docs. With ecosystem-based, or even repository-based, navigation documentation strategy, it will take for instance 4-7 clicks to come to the specific controller page, as you can verify by looking at the bread-crumb of the header. Perhaps splitting it up based on feature instead of Ecosystem elements or programming language might be a more logical structure of the current state of the Crazyflie documentation.

Feedback

One reason why it is so difficult to do this properly, is that we have a lot of repositories based on each microprocessor of all of our products, which makes our opensource projects quite unique. It is therefore difficult to find another opensource project of which we can take inspiration from. So, let us know what you would prefer for navigating through our documentation in this poll, but we are always open to other suggestions! If you know of any example of a similar opensource software project that is doing it the right way, or have any other tips, send us an email (contact_at_bitcraze.io), contact us on social media platforms or post a comment on this blogpost!

Update 2021-12-21:

The poll is closed and this is the result! Thanks all for responding!

Forms response chart. Question title: What type of documentation navigation would you prefer on bitcraze.io. Number of responses: 9 responses.

Background

In the past couple of weeks we have been busy trying to improve the development interface of the Crazyflie. We want to make developing with and for the platform a more pleasant experience.

We have started looking at the logging- and parameter framework and how to improve it for our users. The aim of this framework is to easily be able to log data from the Crazyflie and to set variables during runtime. Your application can use them to control the behavior of the platform or to receive data about what it is currently up to. As of today, in the firmware there are 227 parameters and 467 logging variables defined.

View from the cfclient of the different logging variables one could subscribe to

These logging variables and parameters have been added to the Crazyflie firmware over the course of years. Some are critical infrastructure, needed to be able to write proper applications that interface with the platform. Some are duplicates or were added as debug years ago. Others have in some way outlived their usefulness as the firmware and functionality has moved on. The problem is that we have no way of conveying this information to our users and this is what we are trying to rectify.

An attempt of stability

We are currently reviewing all of our logging variables and parameters in an attempt to make the situation clearer for our users … and ourselves. We are adding documentation to make the purpose of each individual parameters and logging variables more clear. And we are also dividing them up into two categories: core and non-core.

If a parameter or logging variable is marked as core in the firmware that constitutes a promise that we will try very hard to not remove, rename or in any other way change the behavior of it. The idea is that this variable or parameter can be used in applications without any fear or doubt about it going away.

If a variable or parameter is non-core it does not mean that it is marked for removal. But, it could mean that we need more time to make sure that it is the proper interface for the platform. It means that it could change in some way or in some cases be removed in later firmware releases.

The reason for doing this is twofold: we want to make the Crazyflie interface clearer for our users and we want something that we feel we can maintain and keep an up-to-date documentation of.

What is the result?

We have introduced a pair of new macros to the firmware, LOG_ADD_CORE and PARAM_ADD_CORE which can be used to mark a parameter or variable as core. When using these we also mandate that there should be a Doxygen comment attached to the macro.

Below is an example from the barometer log group, showing the style of documentation expected and how to mark a logging variable as core. Parameters gets treated in the same way.

/**
 * Log group for the barometer
 */
LOG_GROUP_START(baro)

/**
 * @brief Altitude above Sea Level [m]
 */
LOG_ADD_CORE(LOG_FLOAT, asl, &sensorData.baro.asl)

/**
 * @brief Temperature [degrees Celsius]
 */
LOG_ADD(LOG_FLOAT, temp, &sensorData.baro.temperature)

/**
 * @brief Air pressure [mbar]
 */
LOG_ADD_CORE(LOG_FLOAT, pressure, &sensorData.baro.pressure)

LOG_GROUP_STOP(baro)

We have also added a script In the firmware repository: elf_sanity.py. The script will return data about parameters and logging variables that it is included in a firmware elf. This can be used to count the number of core parameters. If we point it to a newly built Crazyflie elf, after we’ve done our initial review pass of the parameters and variables, we get the result below.

$ python3 tools/build/elf_sanity.py --core cf2.elf 
101 parameters and 78 log vars in elf

To produce a list of the parameters and variables you can add the --list-params and --list-logs options to the script.

What is the next step?

Once we have finished our review of the parameters and logging variables we will explore different ways of making the documentation of them available in a clear and accessible way. And we will come up with a scheme for making changes to the set of parameters and variables. Once this is all finished you can expect an update from us.

The end goal of our efforts is making developing for the Crazyflie a smoother process, and we would love to hear from you. What is confusing? What are your pain points? Let us know! So we can do better.

A few weeks ago we released version 2021-03 including the python library, Cfclient and the firmware. The biggest feature of that release was that we (finally) got the lighthouse positioning system out of early access and added it as an official product to the Crazyflie eco system! Of course we are very excited about that milestone, but the work does not end there… We also need to communicate how to use it, features and where to find all this new information to you – our favourite users!

New Landing Page

First of all, we made a new landing page for only the lighthouse system (similar to bitcraze.io/start) we now also have bitcraze.io/lighthouse. This landing page is what will be printed on the Lighthouse base station box that will be available soon in our store, but is also directly accessible from the front page under ‘Product News’.

This landing page has all kinds of handy links which directs the user to the getting started tutorial, the shop page or to its place within the different positioning systems we offer/support. It is meant to give a very generic first overview of the system without being overloaded right off the bat and we hope that the information funnel will be more smooth with this landing page.

New tutorial and product pages

For getting started with the lighthouse positioning system, we heavily advise everybody to follow the new getting started tutorial page, even if you have used the lighthouse system since it’s early access days. The thing is is that the procedure of setting the system up has changed drastically. The calibration data and geometry are now stored in persistent memory on-board the Crazyflie and the lighthouse deck itself is now properly flashed. So if you are still using custom config.mk, hardcode geometry in the app layer or use get_bs_geometry.py to get the geometry… stop what you are doing and update the crazyflie firmware, install the newest Cfclient, and follow the tutorial!

We also already made some product page for the Lighthouse Swarm bundle. Currently it is still noted as coming soon but you can already sign up to get a notification when it is out, which we hope to have ready in about 1-2 month(s). The lighthouse deck was of course already available for those that can not wait and want to buy a SteamVR base station somewhere else. Just keep in mind that, even though the v1 is supported, in the future we will mostly focus on the version 2 of the base stations.

Video tutorial

Once again we have ventured into the land of videos and recorded a “Getting started with the Lighthouse positioning system” tutorial for those who prefer video over text.

Feedback

We love feedback and want to improve! Please don’t hesitate to contact us on contact@bitcraze.io if you have comments or suggestions!

As you probably already know we have been wondering how to best handle our documentation and how to provide information to new Crazyflie starters as easy as possible, as you can read in our blogpost of two weeks ago. In the mean time, we also had a chance to think about the results of a poll we had when we discussed about new ways on how to meet our users. We had about 30 responses, but it became clear that many of you are in the need of getting some more knowledge about working with the Crazyflie. The majority voted for online tutorials, and although it might be difficult to do those during the summer holidays, we already started to make step-by-step guides of various parts of the Crazyflie Eco-system.

Poll result of alternative events.

Python Library Tutorials

Currently we have started with step-by-step tutorials of the CFLIB (the python library of the crazyflie). Usually we refer to the example pages of the CFLIB, however we feel that many users copy paste parts of these scripts for their own purposes, without understanding what is actually going on. Therefore, in order to move Crazyflie beginners to the starting developer phase, we have made these guides in order to teach exactly what is going on in each module, step-by-step.

These tutorials can be found in the python library documentation. The first tutorial focuses on connecting, logging and parameters, which guides you through the process of connecting the Crazyflie through a python script, starting up logging configurations in two ways (asynchronous and synchronous) and how to read and set parameters.

The second tutorial is about the motion commander and is a logical continuation of the first. A nice thing is that we also show how to build in some protection in your script as well. If the Flowdeck is not attached, you can check that and prevent the Crazyflie from taking off altogether if it does not detect the Flowdeck. This will be a life saver in your future endeavors, and trust me I know from experience ;). Afterwards it will go into how to take off – fly forward and go back to the initial position. The application of the end of the motion commander tutorial, is where we also use the logging functionality to get the actual estimated position of the Crazyflie. With this information, we show how to write an application that create a virtual bounding box where the Crazyflie can bounce around in (like the old windows screensaver).

The results of the motion commander step by step guide.

We are planning to finish this step-by-step guide by adding the multi-ranger to the mix, continuing on the bouncing ball example. After that we will probably start some tutorials on how to use the swarming functionality before moving on to the firmware or the client.

Work in Progress

The tutorials are still work in progress. So let us know on the forum, python library github repository or as a comment on this blogpost if you see anything wrong or if something is not very clear. This will improve the quality further so that other users can benefit as well. Also once the these step-by-step tutorials are finished we can start working on video based tutorials as well.

Remember, it is possible to contribute your own fixes (or tutorials) to our repositories if you want to. It’s an open source project after all ;)

It is apparently a recurrent theme within Bitcraze:New people come into the office, claim that the documentation is a bit of a mess, then will make it their personal mission on the company to try to fix it (because ‘how hard can it be?’) and come close to a mini depression when it turns out that it ain’t so easy at all.

And yes, I absolutely fell in into that trap too. During my PhD I did not really work on documentation like this (with the exception of papers) so I made quite ambitious plans last year as you can read in this blogpost. We managed to already cross a couple of things off: we moved wiki pages to the github and host it on our website and created datasheets for products, which should make it possible to close the wiki product pages.

However, we still haven not managed to completely close off the wiki because some pages can not really be split up or might have information on there that might not be very future proof. But there are definitely many matters to improve, so we are just writing some of our thoughts down.

Beginner – ? – Developer

One of the things that we noticed that is missing, also by comments of you guys on the forum or by mail, are the means to bring the crazyflie starters quickly to the developer phase. There are some tutorials to be found on our website, but the general feeling is that it does not elevate the general understanding of how everything works. Even the tutorials that cover the autonomous flight with a flowdeck does not go further than giving install instructions and handing over the full python script while not explaining which element does what.

Of course, there are already user manuals to be found in the github docs, however those are maybe too big of a step and take much for granted that the reader knows every ‘in between’ step. It would be much better, for any level, to have step-by-step guides on how to set thing up and what each element’s role is in the code. That would probably work much more effectively as a start for beginning developers.

So we had some tutorials in mind that can elevate first starters to come closer to the developer page:

  • CFCLIENT: How to working with the logging / parameter framework and the plotting tab
  • CFCLIENT: How to interpret the debug console output
  • CFLIB: How to connect to the Crazyflie and read out logs and parameters
  • CFLIB: How to send set points and the commander framework
  • CFLIB: How to build up the Multiranger push demo step by step
  • CF FIRMWARE: How to work with the Applayer (adding own modules or code)

If there are more tutorials that you would like to see, please let us know!

Doc closer to the code

The consensus here in general, is that we would like to have the documentation as close as possible to the doc. At least we have taken a step into the right direction by importing the docs into the Github Repos. This means that with every new feature added, the person responsible can add documentation to it directly in the same commit/pull request.

However, if the description is part of function’s or classes doc strings, it is as close as it can get! The contributor does not need to change the separate markdown file but can change the information directly. Moreover, it can also auto generate documentation for us, as you can see here from one of our try-outs with sphinx and our crazyflie-lib-python repo:

Part of the class and module overview of CFLIB with some auto doc of the high level commander.

Maybe for a beginner such documentation would not be great as a start, but for a more trained developer this could be very useful. My personal problem with most automatic generated documentation is that I find them difficult to read and find the functions that I need. However it would be possible to change the layout to make it a bit more readable since we will host it on our website. And since we mostly use C and Python in our repos, the most logical tools would be Doxygen and Sphinx. There are probably other possibilities out there, but if we would like to integrate this in our framework, we would like to go with tools that are future proof.

The whole picture

The problem with Autodoc is that it mostly shows the itty-bitty-gritty details of a library or firmware, however the users tend to get lost and can not see the whole picture. Also we are maintaining a lot of libraries and firmwares to consider (as you can see here in this list) based on which hardware they are applied for. This means that we have separate documentation pages on almost all of those.

And then comes the decision of where to place information. For instance, the CRTP (Crazy RealTime Protocol) is documented in the crazyflie firmware documentation, since there it is indeed how it is implemented, but CRTP does not only affect the crazyflie firmware. It goes from the STM32F4 to the NRF to the crazyradio through the USB on your computer through the cflib which is the backbone of the CFclient. This is an topic that users would like to have to an overview from if they would like to develop something with the CRTP.

Step-by-step guides are maybe still too detailed to explain the whole picture so maybe we should have some other way to have this overview shown. Maybe by an online lecture or a more lesson type of medium?

There is a lot of sources out there (like write the doc) that have tips on how to maintain the information sources for users, but of course we need to have a documentation structure that is useful and readable for many types of users and maintainable from our side. Let us know if you want to share any insight from your own experiences!