Hamed Behzadi-Khormouji
Papers
1
Total Citations
4
H-Index
1
About
Hamed Behzadi-Khormouji is a robotics researcher whose work focuses on adaptive control and visual servoing for robotic manipulators. His primary research areas include robot kinematics, trajectory tracking, and vision-based control systems. His most cited work, "Adaptive Visual Servoing Control of robot Manipulator for Trajectory Tracking tasks in 3D Space" (2017), introduces an innovative controller that integrates inverse kinematic modeling with position-based visual servoing using a Kinect camera. This approach enables precise 3D trajectory tracking for robotic arms, addressing key challenges in real-time adaptive control. With 4 citations, this paper has contributed to advancing the field of vision-guided robotics, particularly in applications requiring accurate spatial manipulation. Behzadi-Khormouji’s work demonstrates a practical fusion of computer vision and control theory, offering solutions for industrial automation and human-robot interaction. His research continues to influence developments in adaptive robotic systems, making him a notable contributor to the intersection of visual perception and autonomous manipulation.
Research Focus
Key Achievements
Top Papers
- 1