Luca Santarelli

Piaggio Aerospace (Italy)

Papers

2

Total Citations

11

H-Index

2

About

Luca Santarelli’s research lies at the intersection of human-robot interaction and organic electronics, exploring how technology can sense and respond to human emotional states. His most cited work, “Physiological Wireless Sensor Network for the Detection of Human Moods to Enhance Human-Robot Interaction” (2019, 8 citations), introduces a novel framework for using wireless physiological sensors to detect human moods in real time, enabling more intuitive and empathetic human-robot collaboration. This contribution addresses a critical gap in affective computing, demonstrating how wearable sensor networks can bridge the gap between human emotional cues and robotic responses. In his thesis, “Organic Semiconductors-Based Devices Electrical Reliability to Environmental Stress” (2018, 3 citations), Santarelli investigates the degradation mechanisms of organic electronic devices—including OLEDs, OFETs, and OPVDs—under environmental stressors like electrostatic discharge. This work provides foundational insights into improving the durability and reliability of flexible, low-cost electronics for real-world applications. Though early in his career, Santarelli’s interdisciplinary approach—combining hardware reliability with human-centered sensing—positions him as a promising contributor to both the Internet of Things and socially assistive robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Physiological Wireless Sensor Network for the Detection of Human Moods to Enhance Human-Robot Interaction
8 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Piaggio Aerospace (Italy)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago