Gholamreza Anbarjafari
Yıldız Technical University, Hasan Kalyoncu University, University of Tartu, Loughborough University
Papers
14
Total Citations
287
H-Index
7
About
Gholamreza Anbarjafari is a leading researcher at the intersection of robotics, computer vision, and human-robot interaction. His work centers on creating intelligent, context-aware robotic systems that can perceive, interpret, and respond to human actions and environments. A major contribution is his pioneering development of a Digital Twin for FANUC robots, integrating virtual reality for industrial robot programming and simulation—a highly impactful work with over 110 citations. He has also advanced human activity recognition for autonomous vehicle path planning and developed real-time face recognition systems for NAO humanoids using local binary patterns. Anbarjafari’s research addresses privacy-sensitive applications, such as action recognition using single-pixel time-of-flight detection, and explores social and affective robotics through context-aware facial emotion reaction databases. His book *Human-Robot Interaction - Theory and Application* serves as a foundational resource for scientists entering the field. With over 270 citations across his most-cited papers, Anbarjafari’s contributions are shaping the future of autonomous, socially intelligent robots.
Research Focus
Key Achievements
Top Papers
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- 3Human activity recognition-based path planning for autonomous vehicles36 citations · 2020
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- 6Action Recognition Using Single-Pixel Time-of-Flight Detection12 citations · 2019
- 7Human-Robot Interaction - Theory and Application11 citations · 2018
- 8Size-Dictionary Interpolation for Robot’s Adjustment7 citations · 2015
- 9Edge information based object classification for NAO robots6 citations · 2016
- 10