About

Vassilis G. Kaburlasos is a prominent researcher whose work spans agricultural robotics, machine vision, and social robotics in education — fields where his contributions have collectively garnered nearly 1,000 citations. His research has been instrumental in advancing precision agriculture, with his widely cited 2019 review on machine vision systems (280 citations) serving as a foundational reference for crop farming applications. He has further shaped the field through comprehensive overviews of cooperative agricultural robotics (160 citations) and robotic harvesting end effectors (127 citations), positioning him as a leading authority on automation in food production. His development of an integrated autonomous grape-harvesting robot architecture exemplifies his commitment to translating theory into real-world "Agriculture 4.0" solutions, complemented by specialized work on ripeness estimation and neural network-based grape stem detection. Equally impressive is Kaburlasos's parallel contributions to social robotics in education, particularly for children with autism spectrum disorder. His systematic reviews and experimental studies on child-robot interaction and engagement measurement (100 and 61 citations respectively) have helped establish social robotics as a legitimate therapeutic and pedagogical tool. His dual expertise across agricultural technology and human-robot interaction makes him a uniquely versatile and impactful figure in applied robotics research.

Research Focus

Key Achievements

19
H-Index
63
Papers
1,561
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Machine Vision Systems in Precision Agriculture for Crop Farming
280 citations · 2019
📈 Most Prolific Year: 2021 (15 Papers)
🤝 Key Collaborators: 95
🏛 Institutions: International Hellenic University, Technological Educational Institute of Eastern Macedonia and Thrace, Human Computer Interaction (Switzerland), Southwest Jiaotong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 35 days ago