Papers
7
Total Citations
92
H-Index
6
About
Pietro Storniolo’s research lies at the vibrant intersection of social robotics, human-robot interaction, and intelligent perceptual systems. His most influential work explores how robots can engage people more naturally, particularly in cultural and medical settings. In his highly cited 2023 study (29 citations), Storniolo demonstrated how anthropomorphic interaction designs make museum robots more appealing to visitors, bridging the gap between technology and human social expectations. He further advanced this field with a 2022 paper (18 citations) introducing bidirectional multimodal signs—visual, auditory, tactile, and proxemic cues—to assess and sustain human-robot engagement. Beyond social interaction, Storniolo has made foundational contributions to robotic perception, including a neural-network-based segmentation system for soccer robots (2000, 17 citations) and the DAISY distributed architecture for intelligent systems (2002, 10 citations). His work also extends to robot-aided medical care (2020, 8 citations) and artificial somatosensory systems for humanoid robots (2020, 4 citations), demonstrating a sustained commitment to making robots more perceptive, responsive, and human-aware. With research spanning over two decades, Storniolo’s contributions continue to shape how robots understand and interact with people in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Segmentation System for Soccer Robot Based on Neural Networks17 citations · 2000
- 4DAISY: a distributed architecture for intelligent system10 citations · 2002
- 5The Human–Robot Interaction in Robot-Aided Medical Care8 citations · 2020
- 6A new technique for color image segmentation6 citations · 2003
- 7