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.
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum | |
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wöchentlich | Mo | 10-12 | CITEC 1.015 | 07.04.-18.07.2025
nicht am: 07.04.25 / 21.04.25 / 09.06.25 |
Verstecke vergangene Termine <<
Modul | Veranstaltung | Leistungen | |
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39-M-Inf-AI-adv Advanced Artificial Intelligence | Advanced Artificial Intelligence: Seminar 1 | Studienleistung
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Studieninformation |
39-M-Inf-ASE-adv Advanced Autonomous Systems Engineering | Advanced Autonomous Systems Engineering: Seminar 1 | Studienleistung
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Studieninformation |
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