Thread by @TobiasRobotics

Incredibly happy that our @RoboStack paper has been accepted to the @ieeeras Robotics & Automation Magazine 🥳. @RoboStack brings together #ROS @rosorg with @condaforge and @ProjectJupyter. Preprint: arxiv.org/abs/2104.12910. Find out some key benefits in this 🧵: 1/n

You can now easily use ROS (both ROS1 #Noetic and ROS2 #Galactic) on a wide range of platforms: @linuxfoundation (not just a specific Ubuntu, any Linux!), @Apple #MacOS and @Microsoft @Windows - even on ARM processors including the new M1 (work still in progress, though). 2/n

Thanks to the tight coupling to @condaforge, this enables you to (very easily) install ROS side-by-side with thousands of scientific libraries, including recent #computervision and #machinelearning ones (think @TensorFlow, @opencvlibrary, @PyTorch and more). 3/n

The installation lives in a directory of your choice, so you don't need #root access. For example, we have used #ROS on our #HPC for some simulation experiments! You can also easily transfer&reproduce environments from one machine to another, and "go back in time". 4/n

Many plugins to Jupyter & JupyterLab enable you to visualize and control your robots in @ProjectJupyter Notebooks - either simulated or real ones, even remotely without any installation in the browser! 5/n

Find out more & stay tuned: follow @RoboStack, come and join us gitter.im/RoboStack/Lobby and install #RoboStack today: robostack.github.io - if you have any trouble, please open an issue in one of our GitHub repositories.

This is joint work with @wuoulf (@QuantStack), @sitraversaro (@IITalk), Sean Yen (@Microsoft), @carlosherrerob (@QuantStack) and @maththrills (@QUTRobotics).