Martina Zaltieri
Papers
2
Total Citations
194
H-Index
2
About
Martina Zaltieri is a leading researcher in tactile sensing and collaborative robotics, with a focus on bio-inspired technologies that enhance human-robot interaction. Her major contributions center on the development of large-area, tactile-sensitive skins that mimic human mechanoreceptors, particularly Ruffini endings, using fiber Bragg grating (FBG) sensors integrated with deep neural networks. Her most-cited work (2022, 182 citations) demonstrates a groundbreaking functional mimicry of these receptors, enabling robots to perceive and respond to touch with unprecedented sensitivity and spatial resolution—a critical advance for safe, adaptive collaboration in industrial and healthcare settings. Earlier work (2019, 12 citations) laid the foundation for designing large-area FBG-based sensing skins, addressing the challenge of creating durable, scalable tactile interfaces. Zaltieri’s research directly addresses the outstanding scientific challenge of simultaneous contact detection and localization, with implications for prosthetics, human-robot interaction, and smart environments. Her innovative fusion of photonics, machine learning, and biomimicry positions her as a key figure in next-generation tactile sensing, bridging the gap between biological touch and artificial systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2