Saeid Mohammadi Nejati
Papers
2
Total Citations
11
H-Index
2
About
Saeid Mohammadi Nejati is a robotics researcher whose work bridges adaptive control, human-robot interaction, and intelligent perception. His key research areas include parallel robot stabilization, social robotics, and computer vision for autonomous systems. Nejati’s most notable contribution is a novel adaptive control strategy for stabilizing a two-degree-of-freedom spherical parallel robot as a camera stabilizer, integrating gyro sensor feedback to command servo motors in real time—a foundational approach cited 7 times. He also advanced social robotics through his work on indoor and outdoor face recognition using the Sanbot robot, demonstrating how robust facial detection enables meaningful human-robot interaction in dynamic environments. With 4 citations, this study highlights his focus on practical, real-world deployment of perception algorithms. Nejati’s work is distinguished by its applied nature, targeting immediate challenges in robot control and social acceptance. His research not only contributes to theoretical frameworks but also offers implementable solutions for camera stabilization and socially aware robotics, making him a promising voice in the field of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2