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Francesco Maria Tassi

Post Doc
Human-Robot Interfaces and Interaction
Francesco Maria Tassi
Research center
CRIS@SanQuirico
Biografia

Francesco Tassi has received his BSc and MSc in Mechanical Engineering at Politecnico di Milano, with a focus on Robotics and Mechatronics Engineering. He has received his PhD in 2023 from Politecnico di Milano, working at Istituto Italiano di Tecnologia (IIT) in the department of Human-Robot Interfaces and Interaction (HRI2), where he is currently a PostDoctoral researcher, in the field of advanced robotics and control. Previous to the PhD, he has worked as a research fellow at Consiglio Nazionale delle Ricerche (CNR) in the automation and robotics division. He developed his MSc thesis at the Jet Propulsion Laboratory (JPL) California, where he worked on the application of Model Predictive Control for the realization of a distributed space-based observatory. 

His research interests include: optimal whole-body control and motion planning, human-robot collaboration, MPC, dynamic teleoperation.

Education

Title: PhD
Institute: Politecnico di Milano
Location: Milan
Country: Italy
From: 2020 To: 2023

Title: MSc in Robotics and Mechatronics Engineering
Institute: Politecnico di Milano
Location: Milan
Country: Italy
From: 2015 To: 2017

Title: BSc in Mechanical Engineering
Institute: Politecnico di Milano
Location: Milan
Country: Italy
From: 2012 To: 2015

All Publications
2026
Lagomarsino M., Tassi F.
Toward Online Robot Interaction Adaptation to Human Upper-Limb Mobility Impairments in Return-to-Work Scenarios
IEEE Robotics and Automation Letters, vol. 11, (no. 9), pp. 10593-10600
DOI 10.1109/LRA.2026.3715019
Article Journal
2025
Zhao J., Tassi F., Huang Y., De Momi E., Ajoudani A.
A combined learning and optimization framework to transfer human whole-body loco-manipulation skills to mobile manipulators
Robotics and Autonomous Systems, vol. 189
DOI 10.1016/j.robot.2025.104958
2025
Lahr G., Sirintuna D., Tassi F., Ben Mor H., Ajoudani A.
A Non-parametric Approach to Exploring and Quantifying the Information Flow in Human-Robot Collaboration
ACM Transactions on Human-Robot Interaction
Article in Press Journal
2025
Giardini Lahr G.J., Sirintuna D., Tassi F., Amor H.B., Ajoudani A.
A Non-parametric Approach to Exploring and Quantifying the Information Flow in Human–Robot Collaboration
ACM Transactions on Human-Robot Interaction, vol. 15, (no. 1)
DOI 10.1145/3744755
Article Journal
2025
Tassi F., Zhao J., Lahr G.J., Gava L., Monforte M., Glover A., Bartolozzi C., Ajoudani A.
IMA-catcher: An IMpact-aware nonprehensile catching framework based on combined optimization and learning
International Journal of Robotics Research
DOI 10.1177/02783649251345851
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Oral presentations
2022
Tassi F., De Momi E., Ajoudani A.
An adaptive compliance Hierarchical Quadratic Programming controller for ergonomic human–robot collaboration
Robotics and Computer-Integrated Manufacturing, vol. 78
Journal
2021
Tassi F., de Momi E., Ajoudani A.
Augmented Hierarchical Quadratic Programming for Adaptive Compliance Robot Control
Proceedings - IEEE International Conference on Robotics and Automation, vol. 2021-May, pp. 3568-3574
Conference
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Organized Events
2025
Zhao J., Liu X., Lagomarsino M., Tassi F., Li S., Lahr G., Yang C., Lan X., Huang P., Ajoudani A.
IROS 2025 workshop - Human-in-the-loop Robot Learning in the Era of Foundation Models: Challenges and Opportunities
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Colleagues of Human-Robot Interfaces and Interaction
Youyuan Long Youyuan Long PhD Student Human-Robot Interfaces and Interaction
Lorenzo Levantesi Lorenzo Levantesi Support Technician Human-Robot Interfaces and Interaction
Vivayvivian Pedrick Rodrigues Vivayvivian Pedrick Rodrigues PhD Student Human-Robot Interfaces and Interaction
Xiao Wang Xiao Wang Guest Student Human-Robot Interfaces and Interaction
Luca Zanetti Luca Zanetti PhD Student Human-Robot Interfaces and Interaction
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