Mahmoud Jeddi
Papers
1
Total Citations
2
H-Index
1
About
Mahmoud Jeddi is a robotics researcher whose work centers on visual servoing, control systems, and autonomous manipulation. His key contributions lie in developing advanced visual control strategies for robotic grasping, particularly through eye-in-hand stereo vision systems. His most-cited paper, "A modified eye‐in‐hand stereo visual control for grasping unknown objects via Scara robot" (2023), introduces a switch PID stereo image-based visual servoing controller that decouples rotational and translational camera motion, enhancing precision in object manipulation. This work addresses critical challenges in real-time robotic control, enabling robots to interact with unknown objects more effectively. With 2 citations, Jeddi’s research demonstrates practical applications in industrial automation and robotics. His achievements include advancing the integration of stereo vision with PID control, offering a robust solution for tasks requiring high accuracy. By focusing on the intersection of computer vision and robotic control, Jeddi contributes to the broader field of autonomous systems, making his work relevant for students and researchers exploring visual servoing, manipulator control, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1