392148 Diffusion Models in Robotics (S) (SoSe 2025)
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In recent months, promising results have been achieved in the field of robotics using diffusion models. The main goal of this course is to summarize the state-of-the-art diffusion models in robotics and to give an overview of promising research directions.
We will start with a general introduction to denoising diffusion probabilistic models and commonly used approaches such as classifier(-free) guidance. In addition, we will present and discuss work on topics such as trajectory planning, reinforcement learning, and object manipulation.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-AI-adv Advanced Artificial Intelligence | Advanced Artificial Intelligence: Seminar 1 | Study requirement
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Student information |
| 39-M-Inf-ASE-adv Advanced Autonomous Systems Engineering | Advanced Autonomous Systems Engineering: Seminar 1 | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
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- SS2025_392148@ekvv.uni-bielefeld.de
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- Last update basic details/teaching staff:
- Friday, January 3, 2025
- Last update times:
- Friday, January 3, 2025
- Last update rooms:
- Friday, January 3, 2025
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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