Mariangela Filosa
Papers
6
Total Citations
229
H-Index
5
About
Mariangela Filosa is pioneering the next generation of tactile sensing for collaborative robots and bionic prostheses. Her research lies at the intersection of biomimetic mechanoreception, fiber optic sensing, and deep learning, with a focus on creating large-area electronic skins (e-skins) that endow machines with a human-like sense of touch. Her most impactful work, a 2022 paper with 182 citations, demonstrates functional mimicry of Ruffini receptors by combining fibre Bragg gratings with deep neural networks, enabling a tactile-sensitive skin for safe human-robot interaction. Filosa has also advanced contamination detection in packaging using convolutional neural networks (2023, 17 citations) and authored a comprehensive 2025 review on e-skin technologies, covering hardware, tactile sensing, and control algorithms (15 citations). Her recent 2025 study on type II mechanoreceptors and spiking neuronal networks achieves precise touch localization on large-area e-skins (6 citations). Beyond robotics, she has contributed to soft prosthetic sockets with EMG sensing and feedback, addressing real-world rehabilitation challenges. With over 229 total citations, Filosa is establishing herself as a key figure in biomimetic tactile intelligence, bridging hardware innovation with neural-inspired computation.
Research Focus
Key Achievements
Top Papers
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