Postdoctoral Researcher @ TUM MIRMI · Marie Skłodowska-Curie Fellow · Wearable & Human-Robot Interfaces
I’m an Italian postdoctoral researcher at the Munich Institute of Robotics and Machine Intelligence (MIRMI), TUM. My work focuses on magnetic sensing & modeling, wearable/soft robotics, and physical human–robot interaction, with the broader goal of making human–robot interfaces more natural and intuitive. I’m currently funded by a Marie Skłodowska-Curie Postdoctoral Fellowship (project SCOUT).
🧪 Past stops include Scuola Superiore Sant’Anna (PhD, Biorobotics) and Heidelberg University.
- Magnetic sensing for prosthetics & exoskins — from modeling to embedded implementation.
- Wearable robotics & pHRI — control, intent inference, and safe assistance.
- Mechatronics for human–machine interfaces — robust sensing pipelines for out-of-lab use.
- PhD, Biorobotics (cum laude) — Scuola Superiore Sant’Anna (2023)
- MSc, Bionics Engineering (110/110 cum laude) — University of Pisa & SSSA (2019)
- BSc, Information Engineering (110/110) — University of Padua (2017)
During my PhD I worked on the Myokinetic Interface for dexterous control and proprioceptive feedback in transradial amputees and contributed to national/EU projects (e.g., ERC Starting Grant Myki).
- 🏅 Marie Skłodowska-Curie Postdoctoral Fellowship (SCOUT), 2024.
- 🥇 ICRA’24 TC Workshop Poster – 1st Prize, “Supervised Autonomy: How to Shape Human-Robot Interaction…” (Heidelberg Univ.).
- Browse my publications on Google Scholar → scholar.google.com/citations?user=efrwL3IAAAAJ
- Short research/story overview on my website → federicomasierophd.com
I’ve published in International Peer Reviewed Journals like IEEE TNSRE, IEEE Sensors, Journal of Neural Engineering, Advanced Science, and Science Robotics. Full list on my website/Scholar.
- 🧲 Magnetic interfaces for motion capture & prosthetic control
- 🦾 Wearable assistance: exoskins/exosuits with intent detection
- 📡 Embedded sensing pipelines for real-time HRI
If you’re into prosthetics, soft wearables, or magnetic sensing, I’m always happy to chat or collaborate.
- 📮 Email: federico.masiero@tum.de (or via my website’s contact)
- 🔗 LinkedIn: /in/fedemasi
- 🌐 Web: federicomasierophd.com
Made with ❤️ for open science and reproducible robotics.

