Responsible and Scalable Learning for Robots Assisting Humans
| Focus topic: | Artificial Intelligence |
|---|---|
| Type of funding: | Project funding programmes |
| Programme: | CZS Breakthroughs |
| Funded institution: |
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Can robots learn through observation? This is the question an interdisciplinary project team at the University of Freiburg is asking itself and researching new training methods for AI-based robots.
Goals
Innovative machine learning methods should enable robots to learn tasks demonstrated by humans. Similar to human learning, the robots should be able to acquire the correct behaviour by copying observed behaviour and through interactions. In this way, the robots should be able to act in different environments without having to be reprogrammed for each situation.
Involved persons:
Prof Dr. Joschka Bödecker
Albert-Ludwigs-Universität Freiburg
Detailed information:
| Focus topic: | Artificial Intelligence |
|---|---|
| Programme: | CZS Breakthroughs |
| Type of funding: | Project funding programmes |
| Target group: | Professors |
|---|---|
| Funding budget: | 4.999.000 € |
| Period of time: | Mai 2022 - April 2028 |
Funded institution:
