Lehrinhalte
The projects comprise of a selection of topics / problems in line with the department’s research and development activities. These topics will be from emerging fields of RAS, for example:
- Autonomous Driving (SLAM, motion, navigation and traffic planning),
- Autonomous Smart Factory (optimization in production, autonomous warehousing),
- Human-Robot Collaboration (robot perception, human-aware planning).
An introduction to ROS, selected simulation environments (e.g. MORSE) and the available real systems (HWs) will be provided by lectures as well as a number of suggested topics. The students will be formed into teams each focusing on one of the selected topics. Throughout the semester, the teams will further detail their topics into design descriptions, system architectures and finally applied systems with validated results. The topics will be implemented regarding the multi-agent nature of autonomous systems. Relevant testbeds as well as a close supervision will be provided to the students. The topics overall cover the technical work below:
- autonomous driving: localisation, motion and navigation planning,
- multi-robot planning: autonomous warehousing with traffic management,
- human-aware planning: human activity recognition (HAR), stochastic planning with collaborative robots including autonomous cars,
- machine learning for real-world applications applied to the topics above (e.g. reinforcement learning, deep learning).
