Keyhan Rayati
Papers
1
Total Citations
2
H-Index
1
About
Keyhan Rayati is a researcher at the forefront of human-robot interaction, specializing in real-time robotic imitation and emotion recognition. His most cited work, "Real-Time Imitation of Human Head Motions, Blinks and Emotions by Nao Robot: A Closed-Loop Approach" (2023), introduces a pioneering closed-loop framework that enables a Nao robot to mimic human head movements, blinks, and facial expressions in real time. By integrating MediaPipe for computer vision and DeepFace for emotion recognition, Rayati’s approach significantly enhances the naturalness and responsiveness of human-robot interactions, bridging the gap between human expressiveness and robotic behavior. This work, with 2 citations, demonstrates his ability to combine cutting-edge libraries with practical robotics, offering a scalable solution for assistive and social robotics. His contributions are particularly impactful in fields like therapy, education, and entertainment, where empathetic and lifelike robot responses are critical. Rayati’s research not only advances technical capabilities but also sets a foundation for more intuitive and emotionally aware robotic systems, marking him as an emerging innovator in the domain of interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1