392131 From Datasets to Real-World Skills – How Robots Learn, Then Keep Learning (S) (WiSe 2025/2026)

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Robot learning is currently being reshaped by foundation models: large-scale pretraining, generalist policies, and the integration of vision-language models with robot control. This seminar provides a structured introduction to modern Vision-Language-Action (VLA) systems and generalist robot policies, and focuses on the practical design choices that determine whether such models work reliably on real robots. We will start from the basics of modern imitation learning (behavioral cloning) and cover key policy families for robot manipulation, including action chunking transformers and diffusion/flow-based policies. Building on this, we will discuss what matters in learning from demonstrations, with an emphasis on data quality, action representations and tokenizers, and the trade-offs between autoregressive and generative (diffusion/flow) action generation. We will also introduce recent ideas for robust adaptation, such as modular design and knowledge insulation, and give a light overview of how experience-based fine-tuning can further improve performance.

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Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Mo 14-16 CITEC 2.017 13.10.2025-06.02.2026

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Subject assignments

Module Course Requirements  
39-M-Inf-AI-app-foc_a Applied Artificial Intelligence (focus) Applied Artificial Intelligence (focus) Applied Artificial Intelligence (focus): Seminar Student information
Applied Artificial Intelligence (focus): application-oriented seminar 1 Study requirement
Student information
Applied Artificial Intelligence (focus): application-oriented seminar 2 Student information
- Graded examination Student information
39-M-Inf-ASE-app-foc_a Applied Autonomous Systems Engineering (focus) Applied Autonomous Systems Engineering (focus) Applied Autonomous Systems Engineering (focus): Seminar Student information
Applied Autonomous Systems Engineering (focus): Application-oriented seminar 1 Student information
Applied Autonomous Systems Engineering (focus): Application-oriented seminar 2 Student information
- Graded examination Student information
39-M-Inf-INT-app-foc_a Applied Interaction Technology (focus) Applied Interaction Technology (focus) Applied Interaction Technology (focus) - Seminar Student information
Applied Interaction Technology (focus): Application-oriented seminar 1 Study requirement
Student information
Applied Interaction Technology (focus): Application-oriented seminar 2 Student information
- Graded examination Student information

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The seminar will start with two introductory lectures. Each week, one student will present a research paper from the reading list and lead the discussion. At the end of the semester, each student has the option to submit an essay surveying related literature to obtain extra credit.

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WS2025_392131@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Thursday, January 22, 2026 
Last update times:
Thursday, October 16, 2025 
Last update rooms:
Thursday, October 16, 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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568321983