This year our info evening will be held at 10.81 Emil-Mosonyi-Seminarraum (HS 26) starting from 17:45. Afterwards you may join us at our work space at Campus Ost. We will start the evening with a small presentation, explaining what Kamaro is and what we do. Afterwards we will showcase our robot and answer any questions you might have. Snacks will be provided. Campusplan

Although Luna relies on a broad range of sensors delivering real time feedback for direct control, we are planning to enhance the capabilities and real world Application. There are two distinct ways to improve those Aspect through Machine Learning (ML), on one side we use auxiliary ML models to increase the reliability of our system as a whole through using additional sensors to improve main sensors readings. The other application covers a broader range of application through learning Agent Policies that can control luna on their own and follow given commands such as moving in a certain direction or rotating on the spot. Through the implementation of digital twin we were able to test our software stack and hardware plans before starting the costly process of creating hardware prototypes, therefore increasing the amount of time we needed to get our first working system into a prototype state.