Papers

10

Total Citations

452

H-Index

9

About

Valentin Enescu is a pioneering researcher in child-robot interaction, focusing on how social robots can build long-term, adaptive bonds with young users. His work centers on designing robots capable of coordinated, context-aware behavior to sustain engagement over time—a critical challenge in human-robot interaction. As a key contributor to the ALIZ-E project, Enescu developed frameworks for multi-activity switching and adaptive strategies that enable robots to maintain meaningful interactions with children, particularly in healthcare and educational settings. His most cited paper, "Multimodal Child-Robot Interaction: Building Social Bonds" (206 citations), lays the groundwork for robots that respond to social cues to foster trust and rapport. Enescu also advanced technical foundations in computer vision and spoken language processing, including MRF-based foreground detection for moving cameras and event-based conversational systems for the Nao robot. His research on behavioral accommodation and emotion recognition from natural bodily expressions further demonstrates how children adapt to robotic tutors, with implications for personalized learning and therapy. With over 450 cumulative citations, Enescu’s work bridges engineering and developmental psychology, offering practical pathways for robots to become supportive companions in children’s lives.

Research Focus

Key Achievements

9
H-Index
10
Papers
452
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Multimodal Child-Robot Interaction: Building Social Bonds
206 citations · 2013
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 51
🏛 Institutions: Vrije Universiteit Brussel, Signal Processing (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago