Antonio Pullini
Papers
2
Total Citations
38
H-Index
2
About
Antonio Pullini is a leading researcher in energy-efficient embedded systems, with a primary focus on electronic skin (e-skin) technologies and their real-world applications in robotics, prosthetics, and medicine. His major contributions center on designing intelligent, low-power hardware and software architectures that enable real-time tactile data processing directly at the sensor level—overcoming critical challenges in latency and power consumption. In his highly cited 2018 work, "An Energy Efficient E-Skin Embedded System for Real-Time Tactile Data Decoding" (24 citations), Pullini demonstrated a complete embedded system capable of decoding dense tactile data streams with minimal energy. He further advanced the field with his 2019 paper on touch modality classification (14 citations), where he introduced a RISC-V-based smart system that classifies tactile interactions efficiently. By pushing computation to the edge of the sensor network, Pullini’s work has significantly improved the feasibility of autonomous, skin-like sensing in next-generation human-machine interfaces. His research stands at the intersection of hardware design, machine learning, and bio-inspired sensing, making him a key figure in the evolution of intelligent, energy-aware embedded systems for tactile applications.
Research Focus
Key Achievements
Top Papers
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