robotics
Roberto Calandra
robot learning
reinforcement learning
model-based control
tactile sensing
Calandra heads TU Dresden’s Learning, Adaptive Systems and Robotics lab, with research on robot learning, tactile sensing, Bayesian optimisation, and model-based control.
Pros
- Strong RL and robot-learning researcher with an industry (Meta AI) pedigree
- Real strengths in model-based RL, Bayesian optimisation and tactile sensing
- Growing, well-resourced TU Dresden lab with good topical fit
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!