Elia Trevisan


I am a last year PhD Candidate at the Autonomous Multi-Robots Lab at the Delft University of Technology, where I am advised by Javier Alonso-Mora and Robert Babuska. My research interests lie in the intersection of robotics, machine learning, and optimization, with a focus on interactions and autonomous navigation.

Bio: Before joining the Autonomous Multi-Robots Lab, I earned a Master’s degree in Systems and Control from Delft University of Technology, where my thesis under Michel Verhaegen focused on system identification for high numerical aperture microscopy. I also hold a Bachelor’s degree in Automation Engineering from both Tongji University in Shanghai and the University of Bologna in Italy. During my undergraduate studies, I led a collaboration with Electrolux’s R&D team as part of my thesis with Gianluca Palli, researching robotic manipulators for appliance testing. My technical foundation began with a High School Diploma in Electrical Engineering from ITST J. F. Kennedy in Pordenone, Italy, where I gained practical experience in designing and testing electrical circuits and industrial automation systems.

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Awards: I was Best Paper Finalist at the IEEE International Symposium on Multi-Robot & Multi-Agent Systems (MRS) 2023 and the Embracing Contacts Workshop at ICRA 2023. I received my MSc degree cum laude, which is only awarded to the top ~10-15% of the class. During my undegraduate studies I was awarded the merit-based AlmaTong scholarship for the double-bachelor program.

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Publications

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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, 2024
Project Page / Paper /
@InProceedings{zhang2024multi, 
	author = {Yuezhe Zhang and Corrado Pezzato and Elia Trevisan and Chadi Salmi and Carlos Hernández Corbato and Javier Alonso-Mora}, 
	title = {Multi-modal mppi and active inference for reactive task and motion planning}, 
	booktitle = {IEEE Robotics and Automation Letters}, 
	year = {2024}, 
}
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Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary Controllers
Elia Trevisan, Javier Alonso-Mora
IEEE Robotics and Automation Letters, 2024
Project Page / Paper /
@InProceedings{trevisan2024biased, 
	author = {Elia Trevisan and Javier Alonso-Mora}, 
	title = {Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary Controllers}, 
	booktitle = {IEEE Robotics and Automation Letters}, 
	year = {2024}, 
}
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Interaction-aware sampling-based MPC with learned local goal predictions (Best Paper Finalist)
Walter Jansma, Elia Trevisan, Alvaro Serra-Gómez, Javier Alonso-Mora
2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2023
Project Page / Paper /
@InProceedings{jansma2023interaction, 
	author = {Walter Jansma and Elia Trevisan and Alvaro Serra-Gómez and Javier Alonso-Mora}, 
	title = {Interaction-aware sampling-based MPC with learned local goal predictions}, 
	booktitle = {2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)}, 
	year = {2023}, 
}
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Sampling-based model predictive control leveraging parallelizable physics simulations
Corrado Pezzato*, Chadi Salmi*, Max Spahn*, Elia Trevisan*, Javier Alonso-Mora, Carlos Hernández Corbato
arXiv preprint, 2023
Project Page / Paper /
@InProceedings{pezzato2023sampling, 
	author = {Corrado Pezzato* and Chadi Salmi* and Max Spahn* and Elia Trevisan* and Javier Alonso-Mora and Carlos Hernández Corbato}, 
	title = {Sampling-based model predictive control leveraging parallelizable physics simulations}, 
	booktitle = {arXiv preprint}, 
	year = {2023}, 
}
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Multi-agent path integral control for interaction-aware motion planning in urban canals
Lucas Streichenberg*, Elia Trevisan*, Jen Chung, Roland Siegwart, Javier Alonso-Mora
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023
Project Page / Paper /
@InProceedings{streichenberg2023multi, 
	author = {Lucas Streichenberg* and Elia Trevisan* and Jen Chung and Roland Siegwart and Javier Alonso-Mora}, 
	title = {Multi-agent path integral control for interaction-aware motion planning in urban canals}, 
	booktitle = {2023 IEEE International Conference on Robotics and Automation (ICRA)}, 
	year = {2023}, 
}
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Sampling-Based MPC Using a GPU-parallelizable Physics Simulator as Dynamic Model: an Open Source Implementation with IsaacGym (Best Paper Finalist)
Corrado Pezzato*, Chadi Salmi*, Elia Trevisan*, Javier Alonso-Mora, Carlos Corbato
Embracing Contacts-Workshop at ICRA 2023, 2023
Project Page / Paper /
@InProceedings{pezzato2023samplingworkshop, 
	author = {Corrado Pezzato* and Chadi Salmi* and Elia Trevisan* and Javier Alonso-Mora and Carlos Corbato}, 
	title = {Sampling-Based MPC Using a GPU-parallelizable Physics Simulator as Dynamic Model: an Open Source Implementation with IsaacGym}, 
	booktitle = {Embracing Contacts-Workshop at ICRA 2023}, 
	year = {2023}, 
}
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Regulations aware motion planning for autonomous surface vessels in urban canals
Jitske Vries, Elia Trevisan, Jules Toorn, Tuhin Das, Bruno Brito, Javier Alonso-Mora
2022 International Conference on Robotics and Automation (ICRA), 2022
Project Page / Paper /
@InProceedings{de2022regulations, 
	author = {Jitske Vries and Elia Trevisan and Jules Toorn and Tuhin Das and Bruno Brito and Javier Alonso-Mora}, 
	title = {Regulations aware motion planning for autonomous surface vessels in urban canals}, 
	booktitle = {2022 International Conference on Robotics and Automation (ICRA)}, 
	year = {2022}, 
}
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Joint Estimation of Object and Aberration for High Numerical Aperture Microscopy
E Trevisan
Master thesis in Systems and Control at TU Delft, 2020
Project Page / Paper /
@InProceedings{trevisan2020joint, 
	author = {E Trevisan}, 
	title = {Joint Estimation of Object and Aberration for High Numerical Aperture Microscopy}, 
	booktitle = {Master thesis in Systems and Control at TU Delft}, 
	year = {2020}, 
}

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