Mario Osta
Papers
1
Total Citations
14
H-Index
1
About
Mario Osta is a researcher at the forefront of energy-efficient embedded systems, with a particular focus on tactile sensing and electronic skin applications. His work addresses a critical challenge in modern electronics: how to process sensory data locally, with minimal power consumption and latency, to enable truly responsive artificial skin. Osta’s most cited paper, “An Energy Efficient System for Touch Modality Classification in Electronic Skin Applications” (2019, 14 citations), introduces a smart system built on a RISC-V processor that can classify different touch modalities—such as pressure or vibration—directly at the sensor node. This contribution is pivotal for advancing prosthetics, robotics, and wearable technology, where real-time, low-power sensing is essential. By integrating machine learning capabilities into a compact, energy-efficient architecture, Osta’s work demonstrates a practical path toward mimicking the nuanced tactile perception of human skin. His research not only pushes the boundaries of embedded systems design but also lays the groundwork for more intelligent, autonomous sensory interfaces in next-generation electronic skins.
Research Focus
Key Achievements
Top Papers
- 1