Francesco Tassi has received his BSc and MSc in Mechanical Engineering at Politecnico di Milano, with a focus on Robotics and Mechatronics Engineering. Since February 2020, he is enrolled as a PhD student at Politecnico di Milano, working at Istituto Italiano di Tecnologia (IIT) in the department of Human-Robot Interfaces and Physical Interaction (HRI2), 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.
Research center
CRIS@SanQuirico
About
Education
Title: PhD
Institute: Politecnico di Milano
Location: Milan
Country: Italy
From: 2020 To: null
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
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
2022
Tassi F., Gholami S., Giudice S., Ajoudani A.
Impact Planning and Pre-configuration based on Hierarchical Quadratic Programming
Proceedings - IEEE International Conference on Robotics and Automation, pp. 1433-1439
Conference Paper
Conference
2022
Tassi F., Iodice F., De Momi E., Ajoudani A.
Sociable and Ergonomic Human-Robot Collaboration through Action Recognition and Augmented Hierarchical Quadratic Programming
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Conference Paper
Conference
2021
Gholami S., Tassi F., De Momi E., Ajoudani A.
A Reconfigurable Interface for Ergonomic and Dynamic Tele-Locomanipulation
IEEE International Conference on Intelligent Robots and Systems, pp. 4260-4267
Conference Paper
Conference
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
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
2022
Tassi F., Iodice F., De Momi E., Ajoudani A.
Sociable and Ergonomic Human-Robot Collaboration through Action Recognition and Augmented Hierarchical Quadratic Programming
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Conference
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
Colleagues of Human-Robot Interfaces and Interaction
