Elia Trevisan, PhD

Robot Control @ Neura Robotics

I work on motion planning and control at Neura Robotics, where we develop humanoids, collaborative arms, mobile manipulators, and AMRs. I love getting robots to work in the real world, from theory to hardware.

During my PhD and postdoc at TU Delft's Autonomous Multi-Robots Lab, I developed gradient-free optimization methods for robotics, specifically sampling-based MPC approaches that query a dynamics model (aka world model, aka foundation model, aka physics engines) hundreds of times in parallel to approximate optimal control. My thesis on model predictive path integral control was a finalist for the IEEE RAS TC-MRS Best Dissertation Award. Advised by Javier Alonso-Mora and Robert Babuska. Before that, I graduated cum laude from a Master in Systems and Control at TU Delft, working across systems from electric drives to high-resolution microscopy.

Publications and preprints

Papers sorted by recency. Representative papers are highlighted. *Equal contribution.

Dynamic Risk-Aware MPPI for Mobile Robots in Crowds via Efficient Monte Carlo Approximations
Elia Trevisan*, Khaled A. Mustafa*, Godert Notten, Xinwei Wang, Javier Alonso-Mora
IEEE Int. Conf. on Intelligent Robots and Systems (IROS), 2025
project page / arXiv / bibtex
Active Disturbance Rejection Control (ADRC) for Trajectory Tracking of a Seagoing USV: Design, Simulation, and Field Experiments
Jelmer van der Saag, Elia Trevisan, Wouter Falkena, Javier Alonso-Mora
IEEE Int. Conf. on Intelligent Robots and Systems (IROS), 2025
project page / arXiv / bibtex
Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations ⭐ …
Corrado Pezzato*, Chadi Salmi*, Elia Trevisan*, Max Spahn, Javier Alonso-Mora, Carlos Hernández Corbato
IEEE Robotics and Automation Letters (RAL), 2025
project page / arXiv / code / bibtex
Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning ⭐ …
Yuezhe Zhang, Corrado Pezzato, Elia Trevisan*, Chadi Salmi, Carlos Hernández Corbato, Javier Alonso-Mora
IEEE Robotics and Automation Letters (RAL), 2024
project page / arXiv / code / bibtex
Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary Controllers ⭐ …
Elia Trevisan, Javier Alonso-Mora
IEEE Robotics and Automation Letters (RAL), 2024
project page / arXiv / code / bibtex
Interaction-Aware Sampling-Based MPC with Learned Local Goal Prediction
Walter Jansma, Elia Trevisan, Álvaro Serra-Gómez, Javier Alonso-Mora
IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2023 (Best Paper Finalist)
project page / arXiv / code / model and data / bibtex
Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals
Lucas Streichenberg*, Elia Trevisan*, Jen Jen Chung, Roland Siegwart, Javier Alonso-Mora
IEEE Int. Conf. on Robotics and Automation (ICRA), 2023
arXiv / bibtex
Sampling-Based MPC Using a GPU-parallelizable Physics Simulator as Dynamic Model: an Open Source Implementation with IsaacGym
Corrado Pezzato*, Chadi Salmi*, Elia Trevisan*, Javier Alonso-Mora, Carlos Hernandez Corbato
Embracing Contacts Workshop at IEEE Int. Conf. on Robotics and Automation (ICRA), 2023 (Best Paper Finalist)
project page / pdf / code / bibtex
Regulations Aware Motion Planning for Autonomous Surface Vessels in Urban Canals
Jitske de Vries, Elia Trevisan, Jules van der Toorn, Tuhin Das, Bruno Brito, Javier Alonso-Mora
International Conference on Robotics and Automation (ICRA), 2022
arXiv / bibtex

Theses

Joint Estimation of Object and Aberration for High Numerical Aperture Microscopy
Elia Trevisan
Master Thesis in Systems and Control at TU Delft, 2020 (Cum Laude)
pdf / bibtex

Contact

You are welcome to contact me regarding my research! My email is elia trv [at] gmail 。com