Gaetano Di Caterina
Papers
3
Total Citations
34
H-Index
3
About
Dr. Gaetano Di Caterina is a leading researcher at the intersection of computer vision, affective computing, and autonomous robotics. His work is distinguished by a focus on enabling machines to perceive, understand, and safely interact with humans and their environment. Dr. Di Caterina’s most impactful contribution is in **human emotion recognition**, where his 2019 paper on "Human Emotion Recognition in Video Using Subtraction Pre-Processing" (19 citations) introduced a novel image pre-processing technique that significantly enhances the performance of deep learning models for affective state detection. He also advances the field of **neuromorphic and autonomous systems**, notably through his 2020 work on "Perception Understanding Action" (12 citations), which adds a critical layer of contextual understanding to the traditional Perception-Action cycle using spiking neural networks. Further demonstrating his breadth, his 2018 research on "Online Prediction of Robot to Human Handover Events Using Vibrations" (3 citations) tackles the practical challenge of safe human-robot collaboration. By integrating deep learning with low-power, event-driven architectures, Dr. Di Caterina is pioneering the next generation of intelligent, context-aware, and safe robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Human Emotion Recognition in Video Using Subtraction Pre-Processing19 citations · 2019
- 2
- 3Online Prediction of Robot to Human Handover Events Using Vibrations3 citations · 2018