Temirlan Dzhoroev
Papers
4
Total Citations
10
H-Index
2
About
Temirlan Dzhoroev is a rising researcher in human-robot interaction, specializing in computational emotion models that make social robots more expressive and relatable. His work centers on developing dynamic expression systems that allow robots to convey emotions through multiple channels—facial expressions, color displays, and body movements—simultaneously and naturally. Dzhoroev’s major contribution is the Expanded Linear Dynamic Affect-Expression Model, which enables lingering emotional expressions, moving beyond rigid, pre-programmed sequences to create more fluid and authentic interactions. His research has shown that integrating color into emotional expressions significantly enhances user acceptance and relationship building. With papers accumulating citations since 2023, including studies on facial expression customization and synchronized movement control, Dzhoroev is establishing a foundation for next-generation social robots that can engage humans in more intuitive, emotionally resonant ways. His work addresses a critical gap in making robot behavior less mechanical and more human-like, promising to improve applications in companionship, therapy, and service robotics.
Research Focus
Key Achievements
Top Papers
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