Malick Kamran Ahmed

Papers

Total Citations

H-Index

About

Malick Kamran Ahmed is a researcher whose work lies at the intersection of robotics, control systems, and computer vision. His primary research focuses on developing intuitive, vision-based control mechanisms for robotic manipulation, with a particular emphasis on enabling machines to perform complex, human-like tasks through visual feedback. His most-cited paper, "Robotic freehand drawing using visual feedback" (2013), introduces a novel approach that replaces traditional, expensive measuring devices with a simple imaging system to track and guide a robotic arm. By mimicking the natural human ability to observe and correct movement in real time, Ahmed’s work demonstrates how low-cost visual feedback can achieve precise, autonomous control—a significant contribution to accessible robotics. Though his citation count is modest, this foundational study highlights his innovative thinking in bridging human perception and machine action. Ahmed’s research offers a compelling pathway for students and engineers interested in creating more adaptive, cost-effective robotic systems for tasks ranging from manufacturing to creative applications.