Papers

5

Total Citations

51

H-Index

4

About

Alessia Damilano is a researcher at the forefront of neuromorphic and bio-inspired engineering, with a primary focus on developing advanced tactile sensing systems for humanoid robotics and wearable exoskeletons. Her work centers on creating robust, low-power read-out circuits (ROCs) that bridge the gap between biological sensory systems and artificial touch. Damilano’s major contributions include the design of a scalable capacitive digital read-out circuit for tactile skin, which effectively nullifies parasitic effects from physical assembly—a critical step toward practical, sensitive robotic skin. She has also pioneered flexible, event-driven architectures that remain insensitive to voltage and temperature variations, enabling reliable, energy-efficient operation in real-world robotic applications. Her most cited paper (18 citations) demonstrates a prototype fabricated in 130 nm RFCMOS, while her work on commercial tactile sensors for hand exoskeletons (14 citations) addresses the practical challenges of ultra-low-cost, low-complexity read-out for assistive devices. By integrating event-driven, spiking information processing inspired by biological systems, Damilano’s research directly contributes to the development of more responsive, human-friendly robots and wearable technologies that can safely interact with their environment.

Research Focus

Key Achievements

4
H-Index
5
Papers
51
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Robust Capacitive Digital Read-Out Circuit for a Scalable Tactile Skin
18 citations · 2017
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Politecnico di Torino, Italian Institute of Technology, Space (Italy)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago