Andrea Aliperta
Papers
3
Total Citations
200
H-Index
3
About
Andrea Aliperta is a researcher specializing in tactile sensing technologies, collaborative robotics, and bio-inspired sensor design. Her work focuses on developing innovative solutions that enable robots to safely and effectively interact with humans in industrial, healthcare, and everyday environments — a challenge at the forefront of modern human-robot interaction research. Aliperta's most significant contribution is her pioneering use of fibre Bragg grating (FBG) optical sensors combined with deep neural networks to create large-area tactile-sensitive robotic skin. Her landmark 2022 paper, "Functional mimicry of Ruffini receptors," has garnered an impressive 182 citations, demonstrating the substantial impact of her bio-inspired approach, which draws on the mechanics of human skin mechanoreceptors to replicate natural touch perception in robotic systems. This work represents a meaningful leap forward in soft robotics and sensory feedback technology. Her earlier research laid important groundwork, with studies exploring FBG-based sensing skins for both exteroception and proprioception in robotic manipulators, establishing a coherent and progressive research trajectory. Through her focus on safety, adaptability, and biomimicry, Aliperta's contributions are helping redefine how collaborative robots perceive and respond to physical contact, making human-machine collaboration more intuitive and secure.
Research Focus
Key Achievements
Top Papers
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