Head of the Intelligent Robotics Lab (IR Lab)

Matteo Saveriano is an Associate Professor at the Department of Industrial Engineering of the University of Trento. Prior to joining the University of Trento, he was a tenure-track assistant professor at the Department of Computer Science and at the Digital Science Center of the University of Innsbruck, and a post-doctoral researcher at the German Aerospace Center (DLR). He received the Bachelor and Master degrees from Università degli Studi di Napoli "Federico II" in 2008 and 2011 respectively, and a Ph.D from the Technical University of Munich in 2017.

His research lies at the intersection of robot learning and control theory, with the goal of enabling robots to acquire manipulation skills that are adaptive, reliable, and safe. His work focuses on learning dynamical representations of robot behavior from demonstrations and interaction, while preserving fundamental properties such as stability, passivity, and safety. He has made contributions to learning from demonstration, reinforcement learning, continual learning, safe and geometry-aware robot learning. His long-term vision is to establish physically grounded learning paradigms that allow robots to understand, adapt, and safely interact with the real world.

A regularly updated CV can be downloaded cv_saveriano.pdf.

News & Updates

  • 17/08/2026 - I will give an invited talk at the Workshop "Safety-Critical Robotics: From Design Principles to Safe Autonomy in Industrial and Human-Centered Environments", IEEE International Conference on Automation Science and Engineering (CASE) - Shenyang, China 
  • 10/07/2026 - A IEEE TCDS paper accepted:
    • "Neuro-Symbolic Robotics: Capabilities, Limitations, and Challenges" by E. Ugur, A. Ahmetoglu, Y. Nagai, T. Taniguchi, M. Saveriano, and E. Oztop
  • 07/07/2026 - I will given an invited talk at the Workshop "The Mechatronic Arc: Bridging the Gap Between Physical Design and Computational Intelligence", IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) - Genova, Italy
  • 27/06/2026 - An IEEE RA-L paper accepted:
    • "Task Parameter Extrapolation via Learning Inverse Tasks from Forward Demonstrations" by S. Bahar, F. Dogangun, M. Saveriano, Y. Nagai, E. Ugur
  • 24/10/2025 - I will given an invited talk at the Workshop "Exploring the Role of Energy in Robot Interaction and Learning", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China
  • 17/10/2025 - I will give two invited talks at the Italian Conference on Robotics and Intelligent Machines (I-RIM 3D), one at the Workshop on Shared Goals, Shared Spaces: Planning and Control for Trustworthy Human-Robot Collaboration, and one at the Workshop on How Continual Learning and Generative AI are transforming Robotics
  • 01/07/2025 - Our book on Antifragility is out! 
    • "Applied Antifragility in Technical Systems From Principles to Applications" by Cristian Axenie, Meisam Akbarzadeh, Michail A. Makridis, Matteo Saveriano, and Alexandru Stancu
  • 24/06/2025 - I will given an invited talk at the Workshop "Certified Control Synthesis for Robotic Systems", European Control Conference (ECC) - Thessaloniki, Greece