Papers
26
Total Citations
388
H-Index
11
About
Salvatore Sessa is a pioneering researcher at the intersection of human-robot interaction, cultural robotics, and assistive technologies. His work fundamentally explores how robots can be designed to understand and respond to human social behaviors, with a particular focus on cross-cultural acceptance and nonverbal communication. Sessa’s most impactful research investigates how cultural background shapes people’s perceptions of robots, as demonstrated in his highly cited 2013 study on greeting interactions between Egyptians and Japanese (80 citations). He has made significant contributions to emotion recognition systems for entertainment robots (44 citations) and developed quantitative methods for laughter detection and classification (34 citations), advancing the field of socially aware robotics. Sessa is also known for his technical innovations in sensor systems, including the ultra-miniaturized WB-3 inertial measurement unit for human motion tracking and the WB-4 system for musical gesture recognition, enabling natural human-robot musical interaction. His work on ANFIS-based sensor fusion for elderly assistive devices addresses critical healthcare challenges. With over 300 total citations across his publications, Sessa’s research continues to shape how robots perceive and adapt to human social and cultural contexts.
Research Focus
Key Achievements
Top Papers
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- 2Group emotion recognition strategies for entertainment robots44 citations · 2018
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- 6Mobile robotic teleguide based on video images21 citations · 2008
- 7Depth-enhanced mobile robot teleguide based on laser images20 citations · 2010
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