Tommaso Belvedere
PostDoc Researcher @ Rainbow Team, Inria/IRISA
I am a PostDoc researcher at the Rainbow Team at IRISA/Inria Rennes, France, since June 2024.
My research focuses on developing methodologies to make robots move efficiently, safely, and robustly, with particular emphasis on optimization-based methods such as Model Predictive Control. My work spans multiple robotic platforms including wheeled, legged, and aerial robots. Currently, I am mainly interested in tackling the problem of robustifying robot actions against model uncertainties, and in the combination of heterogeneous control methods (optimization, learning, etc…) towards more modular robotics systems.
In 2025 I have been a Visiting Researcher at the DRAGON Lab of the University of Tokyo.
I was previously a PhD student at the DIAG Robotics Lab, where I worked on the the development of Model Predictive Control strategies for non-minimum phase systems including articulated vehicles, wheeled balancing robots, and humanoid robots.
I serve as an Associate Editor for robotics conferences, including ICRA {2025, 2026} and IROS 2025, and for the IEEE Robotics and Automation Letters (RA-L).
In the past, I’ve helped in the organization of JNRR 2025 at Inria/IRISA Rennes, of an ICRA 2025 Workshop “Beyond the Lab: Robust Planning and Control in Real World Scenarios”, and a workshop on “Recent Advancements in Aerial Manipulation” held at Inria Rennes
news
| Jul 01, 2026 | I gave a talk at UCL during the Proactive Robotics Workshop. |
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| May 11, 2026 | Our T-RO paper “Sensitivity-Aware Model Predictive Control for Robots with Parametric Uncertainty” won the Best Paper Award of the IEEE RAS TC on Optimization for Robotics. |
| Jan 01, 2026 | I have been appointed as Associate Editor for IEEE Robotics and Automation Letters (RA-L). |
| Aug 04, 2025 | Currently visiting the DRAGON Lab at the University of Tokyo. |
| May 23, 2025 | Organized the workshop “Beyond the Lab: Robust Planning and Control in Real World Scenarios” at ICRA 2025 in Atlanta. |
selected publications
- Sensitivity-Aware Model Predictive Control for Robots with Parametric UncertaintyIEEE Transactions on Robotics, 2025