Sarmad Nozad Mahmood

Papers

Total Citations

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About

Sarmad Nozad Mahmood is a robotics researcher whose work centers on visual servoing, object tracking, and automated grasping systems. His most-cited paper, “Eye in hand robot arm based automated object grasping system” (2019), introduces a real-time technique that integrates camera-mounted robotic arms to detect and manipulate objects with precision. This contribution addresses a core challenge in modern robotics: enabling machines to perceive and interact with their environment autonomously. With 6 citations, his work has influenced subsequent studies in vision-based robotic control and industrial automation. Mahmood’s research bridges computer vision and mechanical actuation, offering practical solutions for tasks ranging from assembly line automation to assistive robotics. His approach emphasizes real-time performance, making it suitable for dynamic environments where speed and accuracy are critical. By advancing eye-in-hand visual servoing, Mahmood has helped lay the groundwork for more adaptive and intelligent robotic systems, demonstrating how tightly integrated sensing and action can unlock new capabilities in autonomous manipulation.