robotics
Elmar Rueckert
robot skill learning
reinforcement learning
visual-tactile manipulation
foundation models for robotics
Rueckert’s chair researches artificial intelligence and autonomous systems, with work on robot skill learning, reinforcement learning, and adaptive robotic solutions for real-world domains.
Pros
- Full chair with an RL-centric robot-skill-learning agenda, giving good topical fit
- Modern scope including foundation models and visual-tactile manipulation
- Independent professorship with autonomy over research direction
A quick heads-up: This list is a work in progress! The focus tags and pros are AI-generated, so they might occasionally miss the mark. If you spot any missing labs, notice an error, or have ideas for improvements, please feel free to open a pull request. We’d love your help making this better!