Robotics Lab
Organizational issues
| Term: | summer semester (S1 / P4) |
| Requirements: |
Foundational knowledge of robotics, familiarity with robot control systems, and programming skills in C++ or Python |
| Exam: |
Preparation of documentation on a practical robotics task, accompanied by a 25-minute oral presentation |
| Lecturer: | Prof. Dr.-Ing. Ulrike Thomas |
| Sign up Deep Learning for Robotics: | >>> OPAL |
| Sign up Lab: | >>> OPAL |
| Timetable: | Link to the timetable of the TU |
Start of the lecture: The first lecture will take place in April 2027.
Contents
- Machine Learning for robotics
- Bayes Filters in robotics
- Reinforcement Learning
- Practical Implementation of Deep Learning
- Architectures For Locomotion, Grasping, and Manipulation
