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Francesco Maria Tassi

Post Doc
Human-Robot Interfaces and Interaction
Research center
CRIS@SanQuirico
About

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.

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
2024
Tassi F., Ajoudani A.
A Distributed Processing Approach for Smooth Task Transitioning in Strict Hierarchical Control
Proceedings - IEEE International Conference on Robotics and Automation, pp. 9830-9836
DOI 10.1109/ICRA57147.2024.10610227
Conference Paper Conference
2024
Tassi F., Lahr G.J.G., Sirintuna D., Ajoudani A.
Evaluating leadership roles in human-robot interaction via highly dynamic collaborative tasks
IEEE International Workshop on Robot and Human Communication, RO-MAN, pp. 963-969
DOI 10.1109/RO-MAN60168.2024.10731284
Conference Paper Conference
2024
Tassi F., Giardini Lahr G., Sirintuna D., Ajoudani A.
Evaluating leadership roles in human-robot interaction via highly dynamic collaborative tasks
IEEE International Workshop on Robot and Human Communication, RO-MAN
Article Conference
2024
Tassi F., Ajoudani A.
Multi-Modal and Adaptive Robot Control through Hierarchical Quadratic Programming
Journal of Intelligent and Robotic Systems: Theory and Applications, vol. 110, (no. 4)
DOI 10.1007/s10846-024-02193-1
Article Journal
2024
Liao Z., Tassi F., Gong C., Leonori M., Zhao F., Jiang G., Ajoudani A.
Simultaneously Learning of Motion, Stiffness, and Force from Human Demonstration Based on Riemannian DMP and QP Optimization
IEEE Transactions on Automation Science and Engineering
DOI 10.1109/TASE.2024.3469961
Article Journal
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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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Colleagues of Human-Robot Interfaces and Interaction
Olivia Nocentini Post Doc Human-Robot Interfaces and Interaction
Qiyi Tong PhD Student Human-Robot Interfaces and Interaction
Idil Ozdamar PhD Student Human-Robot Interfaces and Interaction
Andrea Zunino Affiliated Researcher Humanoids & Human Centered Mechatronics Human-Robot Interfaces and Interaction
Matilde Mazzini Support Technician Human-Robot Interfaces and Interaction
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