Papers

3

Total Citations

200

H-Index

3

About

Giuseppe Terruso is a leading researcher in the field of collaborative robotics, with a specific focus on tactile sensing technologies that enable safe human-robot interaction. His work centers on developing large-area tactile-sensitive skins that mimic human sensory capabilities, particularly the functional properties of Ruffini receptors found in human skin. Terruso’s most impactful contribution is his 2022 paper on “Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks,” which has garnered 182 citations and demonstrates a novel approach to creating bio-inspired tactile sensors. This work combines fibre Bragg grating technology with deep learning to achieve both exteroception (external touch detection) and proprioception (internal position sensing) in robotic manipulators. His earlier foundational work in 2019 on large-area FBG-based sensing skin established the design principles for these systems, while his 2021 research validated their application in collaborative robotic manipulators. Terruso’s innovations address the critical challenge of creating safe, responsive tactile feedback systems essential for robots working alongside humans in industrial and healthcare settings.

Research Focus

Key Achievements

3
H-Index
3
Papers
200
Total Citations
67
Avg Citations/Paper
🏆 Most Cited Paper
Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin
182 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Scuola Superiore Sant'Anna, Ca' Foscari University of Venice

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago