Shoaib Ahmed
Papers
1
Total Citations
2
H-Index
1
About
Shoaib Ahmed’s research centers on robotics and control systems, with a particular focus on integrating visual feedback for autonomous manipulation. His most-cited work, “Robotic freehand drawing using visual feedback” (2013), introduces a novel approach that mimics human visual perception to guide a robotic arm without traditional measuring devices. By employing a simple imaging device to track movement in real time, Ahmed demonstrates how robots can perform precise, freehand tasks—such as drawing—through closed-loop visual control. This contribution bridges computer vision and robotic actuation, offering a cost-effective and intuitive method for automation. Though his citation count remains modest, with this paper garnering 2 citations, the work is notable for its conceptual simplicity and practical potential in educational and industrial settings. Ahmed’s research underscores the value of biomimetic design in robotics, inspiring further exploration into vision-based feedback systems. His approach highlights how accessible technology can expand the boundaries of autonomous machine behavior, making him a thoughtful contributor to the field of robotic control.
Research Focus
Key Achievements
Top Papers
- 1Robotic freehand drawing using visual feedback2 citations · 2013