Matteo Salerno
Papers
1
Total Citations
40
H-Index
1
About
Matteo Salerno is a robotics researcher whose work focuses on advancing tactile sensing for dexterous manipulation in robotic and prosthetic systems. His most notable contribution is the development of the PapillArray sensor, an incipient slip detection device designed to enhance grip stability and object handling in artificial hands. First validated in his 2017 paper, which has garnered 40 citations, this sensor mimics the human ability to detect subtle slippage before an object is dropped, marking a significant step toward more intuitive and reliable prosthetic control. Salerno’s research sits at the intersection of mechanical design, sensor technology, and human-machine interaction, addressing a critical gap in robotic dexterity. By enabling machines to “feel” impending slip, his work has implications for everything from assistive devices to industrial automation. Though his citation count is still growing, the novelty and practical relevance of his sensor design have already established him as an emerging voice in haptics and soft robotics. For students and researchers exploring tactile feedback or prosthetic innovation, Salerno’s work offers a compelling example of how bio-inspired engineering can solve real-world manipulation challenges.
Research Focus
Key Achievements
Top Papers
- 1