Fabio Stroppa
Papers
15
Total Citations
144
H-Index
8
About
Fabio Stroppa is a robotics researcher whose work bridges two dynamic fields: neurorehabilitation robotics and soft robotics. His early career focused on developing intelligent systems for post-stroke motor recovery, contributing to the ALEx exoskeleton platform and pioneering adaptive assistance methodologies that automatically tune therapy difficulty to individual patients' progress. These contributions, spanning real-time 3D tracking, convex polygon fitting for movement assessment, and online adaptive control, collectively reflect a comprehensive effort to make robot-assisted therapy more responsive and clinically effective. In recent years, Stroppa has pivoted toward soft-growing robot manipulators, tackling fundamental challenges in their design optimization, fabrication, and teleoperation. His work on inflated-beam robots with growable discrete joints addresses the core trade-off between safety and dexterity, with promising applications in home assistance and minimally invasive surgery. His 2023 paper on shared-control teleoperation paradigms has already attracted 21 citations, signaling strong community interest. With over 130 cumulative citations across a decade of research, Stroppa represents a researcher who combines hands-on engineering with rigorous algorithmic thinking. His 2024 survey on soft robot design and optimization further cements his role as a synthesizer of this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
- 1
- 2Shared-Control Teleoperation Paradigms on a Soft-Growing Robot Manipulator21 citations · 2023
- 3Design optimizer for planar soft-growing robot manipulators19 citations · 2023
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- 7Real-Time 3D Tracker in Robot-Based Neurorehabilitation8 citations · 2018
- 8
- 9A Robust Real-Time 3D Tracking Approach for Assisted Object Grasping8 citations · 2014
- 10Convex polygon fitting in robot-based neurorehabilitation6 citations · 2018