Pasquale Foggia
Papers
9
Total Citations
148
H-Index
7
About
Pasquale Foggia is a researcher whose work sits at the dynamic intersection of artificial intelligence, computer vision, and robotics, with a particular focus on human-robot interaction and soft biometrics recognition. His research has made significant contributions to the development of intelligent robotic systems capable of perceiving and interpreting human attributes in real time, including gender, age, ethnicity, emotion, and speaker identity. Foggia's most influential work, "Multi-task learning on the edge for effective gender, age, ethnicity and emotion recognition" (2022, 56 citations), demonstrates his expertise in deploying efficient deep learning models on resource-constrained edge devices — a critical challenge in modern robotics. This theme extends across his portfolio, including multi-task neural networks for voice-based biometrics in cognitive robotics and architectures for personalized social robot interactions. His earlier contributions to stereo vision and obstacle detection for autonomous mobile robots reveal a long-standing commitment to practical robotic perception dating back to the mid-2000s. Particularly notable is his work on autonomous retail robots and few-shot speaker re-identification, showcasing versatility across application domains. With a growing citation record and research spanning nearly two decades, Foggia represents a thoughtful bridge between foundational machine perception and cutting-edge human-aware robotics.
Research Focus
Key Achievements
Top Papers
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- 3A system for gender recognition on mobile robots21 citations · 2019
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- 8Few-shot re-identification of the speaker by social robots6 citations · 2022
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