Learning Systems and Robotics Lab (LSY) Courses
Prof. Angela Schoellig
Are you interested in studying machine learning and control for robotics? If so, we invite you to join our courses currently offered at TUM. To succeed in these courses, you will need a strong background in mathematics and control theory. Below is a summary of the offerings for the current semester. If you have any questions regarding the course content or administrative procedures, please contact us at teaching.lsy(at)xcit.tum.de.
Winter Semester 2024
Machine Learning and Robotics Seminar Course
Wissenschaftliches Seminar
Students will gain knowledge in robot learning and control by critically reviewing existing literature in this field. Topics will vary each term. Example topics include machine learning models for robotics, human-centred robot learning, learning of interactive tasks, learning from demonstration, safe robot learning, and multi-robot learning... more info
Kickoff Meeting: 16.10.2024 (Wednesday) @ 13:15 in N2409
Semantics in Robot Perception and Decision-Making Seminar Course (New Module)
Wissenschaftliches Seminar, Co-offered with Prof. Angela Dai (IN)
Students will gain knowledge in robot decision-making by critically reviewing existing literature in this field, with a focus on semantics-informed approaches. The specific topics covered will change each term. Example topics include safe robot learning, learning from demonstration, language-conditioned robot learning, spatial AI, and 3D scene understanding... more info
Kickoff Meeting: 15.10.2024 (Tuesday) @ 15:00 in N1135
Autonomous Drone Racing Project Course
Projektpraktikum
Students will gain hands-on experience in robot learning and control by developing their own comprehensive hardware/software solution for a drone racing problem. Student teams work jointly on the hardware and software solution, and develop a robot demonstration to showcase their results. The main goal of this course is to teach robotics problem solving skills as well as project management and teamwork. Having experience in Python or C++ programming would be a plus... more info
Kickoff Meeting: 16.10.2024 (Wednesday) @ 15:00 in N2409