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Marta Lorenzini

Post Doc
Human-Robot Interfaces and Physical Interaction
Research center
Marta Lorenzini is a post-doctoral researcher at Human-Robot Interfaces and Physical Interaction (HRII) Lab, Italian Institute of Technology (IIT). She received the B.Eng. and M.Eng. degree in Biomedical Engineering at the Politecnico di Milano (Italy), in 2014 and 2016, respectively. In 2016 she was a research fellow at the Dynamic Interaction Control Lab, IIT. In 2020, she received her Ph.D. from Politecnico di Milano in collaboration with IIT-HRII Lab. She is currently involved in Horizon-2020 project SOPHIA and ERC project Ergo-Lean. She was the winner of the Solution Award 2019 (Premio Innovazione Robotica at MECSPE2019) and the winner of the KUKA Innovation Award 2018. Her research interests include human kinodynamic states real-time monitoring, human ergonomics estimation and assessment, physical human-robot interaction and feedback interfaces.
All Publications
Kim W., Peternel L., Lorenzini M., Babic J., Ajoudani A.
A Human-Robot Collaboration Framework for Improving Ergonomics During Dexterous Operation of Power Tools
Robotics and Computer-Integrated Manufacturing, vol. 68
Article Journal
Fortini L., Lorenzini M., Kim W., De Momi E., Ajoudani A.
A Framework for Real-time and Personalisable Human Ergonomics Monitoring
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Conference Paper Conference
Lorenzini M., Kim W., De Momi E., Ajoudani A.
An online method to detect and locate an external load on the human body with applications in ergonomics assessment
Sensors, vol. 20, (no. 16), pp. 1-18
Fortini L., Lorenzini M., Kim W., De Momi E., Ajoudani A.
A Real-time Tool for Human Ergonomics Assessment based on Joint Compressive Forces
29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, pp. 1164-1170
Conference Paper Conference
Kim W., Lorenzini M., Balatti P., Nguyen D.H.P., Pattacini U., Tikhanoff V., Peternel L., Fantacci C., Natale L., Metta G., AJOUDANI A.
Adaptable workstations for human–robot collaboration: A reconfigurable framework for improving worker ergonomics and productivity
IEEE Robotics and Automation Magazine