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ROS Summer School 2019 in Aachen, Germany

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The registration for the 8th ROS Summer School at FH Aachen, University of Applied Sciences in Germany is now open.

The event will take place from 12th August till 23rd August 2019. Everyone who is interested in Robots and learning ROS is invited. Sadly the seats are limited to 50 participants, so register now.

In this two weeks we are handling the following topics of mobile robotics more in detail: ROS Basics, Communication, Hardware Interfacing, Teleoperation, Transforms, Gazebo Simulation, Landmark Detection, Localization, Mapping, Navigation, Control, some Industrial exhibition and so on and so on. . . The best part of course, is using all this learned knowledge on real Hardware with our mobile Robots.

For more details about the contents check our Flyer 19 or our 2017 ROS Summer School Video:

The ROS Summer School is designed to teach participants about how to get started with ROS; it is created for those who have had an interest in autonomous systems, but didn’t quite know how to get started. With that, organizers recommend students have a basic knowledge of Linux (Ubuntu) and one programming language such as Python or C++. The two-week program is made possible through Mobile Autonomous Systems and Cognitive Robotics (MASCOR).

If this is still not enough for you, we offer an additional ROS UAV weekend afterwards on the 24th and 25th of August. This will include assembling UAVs, first flight setup, flight modes, ROS interfacing, Landmark Detection and getting in touch with autonomous flying.

Detailed information can be seen on the Flyer 19 or again in our ROS Summer School Video 2017.

The seats for the UAV weekend are limited to 15 participants, so register now for the ROS Summer School 2019 and select additionally the UAV weekend.

Application form, more information, photos and videos can be found on our homepage.

All is organized by MASCOR.

The ROS Summer School is part of the ROSIN project 5. The ROSIN project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 732287.

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