Samuele Tosatto

Assistant Professor
Affiliated with Digital Science Center
and Computer Science Department

Office: ICT 3N07
Email: samuele.tosatto@uibk.ac.at
Website: https://samueletosatto.online/

Making robots learn in the real-world

Most of nowadays research is focused on learning in simulation. Learning in simulation, however, is not scalable, as it requires the design of new simulator environments for each task. Ultimately, we want to have robots that learn in the real world, similarly to animals and humans. However, learning in the real world is challenging. My research focuses on providing helpful representation and abstraction for embodied agents. I also focus on theoretical aspects of reinforcement learning to provide higher efficiency.

• Reinforcement Learning
• Motor skills
• Abstraction.

For more information about my research interest visit samueletosatto.com

I currently teach

• Introduction to Robotics
• Optimization and Numerical Computation
• Machine Learning
• Data Analysis II: Machine Learning for Data Analysis

See Google Scholar.

2022–2019   Assistant Professor of Computer Science, University of Innsbruck
2021–2022  Postdoctoral Researcher, University of Alberta, Canada

2017–2020   Ph.D., Computer Science, Technical University of Darmstadt
2013–2017 M.Sc., Software Engineering II, Polytechnic University of Milan.
2009–2012 B.Sc., Software Engineering I, Polytechnic University of Milan.