Papers
10
Total Citations
156
H-Index
6
About
Alberto Topini is a robotics researcher whose work sits at the intersection of rehabilitation engineering and autonomous underwater systems. His primary research areas include hand exoskeleton control for rehabilitation, surface electromyography (sEMG) classification for assistive devices, and autonomous underwater vehicle (AUV) perception and navigation. Topini’s major contributions include developing variable admittance control strategies for hand exoskeletons used in virtual reality–based rehabilitation, with his most cited paper (51 citations) demonstrating how robotic systems can enhance patient engagement during therapy. He has also advanced sEMG-based finger motion prediction using CNN-LSTM regressors (16 citations) and created a novel point-in-polygon classifier for hand exoskeleton control (31 citations). In underwater robotics, Topini has pioneered deep learning approaches for automatic target recognition using both optical and acoustic imagery (29 citations), and developed multi-hypothesis task planning systems for AUV inspections in unknown environments. His work on automatic target recognition and geolocalization of natural gas seeps (11 citations) represents a notable achievement in environmental monitoring. Topini’s research, supported by projects like EUMarineRobots and SUONO, demonstrates a rare ability to bridge medical rehabilitation and marine robotics, with his contributions cited over 150 times across both domains.
Research Focus
Key Achievements
Top Papers
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- 2A Novel Point-in-Polygon-Based sEMG Classifier for Hand Exoskeleton Systems31 citations · 2020
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- 8RAMI 2023: The Experience of the UNIFI Robotics Team with FeelHippo AUV2 citations · 2024
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