We submitted our qualification material for the RoboCup 2019 competition in Sydney/Australia. For that competition, we try to further enhance our robot platform "BoldBot". Our newly developed robot is based on the Darwin-OP and mostly self-printed. Most notably, we want to work on the structural support of the self printed parts, as we were facing some broken parts during the RoboCup 2018 competition in Montreal. We plan to reduce the stress on the area of contact of the screws to make our self-printed parts more durable.
For more details of the hardware used, see our specification sheet of our BoldBot platform. Also, we want to use ROS 2 as our new middleware. We also plan using a simple, standalone 2D simulator PythoCup for simplifying the entry for new members with making basic RoboCup concepts quickly accessible.

For more details, have a look at our team descritpion paper (TDP). In that paper, we again briefly describe our approach for semantic segmentation for our vision used in the 2018 competition, which replaced the lookup-table (LUT) implementation we had before. There is also an overview of past achievements and a collection of open-source contributions of our team.

We'll get notified about the outcome on the 7^th of January.