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Vasco Fanti

PhD Student
Advanced Robotics
Research center
About

I received the bachelor's degree in Biomedical Engineering from the University of Genoa (UniGe), Italy, in 2017, carrying out a thesis on endoprosthesis. In 2021 I received the master’s degree in Bioengineering from UniGe, performing the thesis on an exoskeleton for lower limb assistance in affiliation with Istituto Italiano di Tecnologia (IIT). I worked for almost two years as a Fellow Jr. researcher on an exoskeleton for back support. I am currently pursuing the Ph.D. degree in Bioengineering and Robotics from UniGe, Italy, affiliated with IIT. My research interests include prosthetics, exoskeletons, assessment methodologies, physical human-robot interaction, and data analysis.

All Publications
2022
Poliero T., Fanti V., Sposito M., Caldwell D.G., Di Natali C.
Active and Passive Back-Support Exoskeletons: A Comparison in Static and Dynamic Tasks
Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, vol. 2022-August
Conference Paper Conference
2022
Poliero T., Fanti V., Sposito M., Caldwell D.G., Natali C.D.
Active and Passive Back-Support Exoskeletons: A Comparison in Static and Dynamic Tasks
IEEE Robotics and Automation Letters, vol. 7, (no. 3), pp. 8463-8470
Article Journal
2022
Fanti V., Sanguineti V., Caldwell D.G., Ortiz J., Di Natali C.
Assessment methodology for human-exoskeleton interactions: Kinetic analysis based on muscle activation
Frontiers in Neurorobotics, vol. 16
2022
Lazzaroni M., Fanti V., Sposito M., Chini G., Draicchio F., Di Natali C., Caldwell D.G., Ortiz J.
Improving the Efficacy of an Active Back-Support Exoskeleton for Manual Material Handling Using the Accelerometer Signal
Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, vol. 2022-August
Conference Paper Conference
2022
Lazzaroni M., Fanti V., Sposito M., Chini G., Draicchio F., Natali C.D., Caldwell D.G., Ortiz J.
Improving the Efficacy of an Active Back-Support Exoskeleton for Manual Material Handling Using the Accelerometer Signal
IEEE Robotics and Automation Letters, vol. 7, (no. 3), pp. 7716-7721
Article Journal