Abdulla Mohamed

Papers

Total Citations

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About

Abdulla Mohamed is a robotics researcher whose work focuses on agricultural automation, robotic manipulation, and active vision systems. His most impactful contribution is the development of a soft manipulator robot for selective tomato harvesting, a paper that has garnered 19 citations and addresses the critical challenge of automating the labor-intensive harvesting of delicate fruits and vegetables—a process that can represent over 50% of production costs. Mohamed has also made significant advances in visual tracking and control, notably creating a stereo vision-based object tracking system for a movable robot head on a Baxter robot (13 citations), which demonstrates his expertise in integrating perception with robotic manipulation. Additionally, his work on automating active stereo vision calibration using collaborative robots (5 citations) showcases his ability to improve the efficiency and accuracy of robotic vision systems. Through these contributions, Mohamed has established himself as a researcher dedicated to solving real-world problems in agriculture and robotics, with a particular emphasis on developing practical, automated solutions that reduce human labor and enhance precision.