Talha Manzoor

Lahore University of Management Sciences

Papers

Total Citations

H-Index

About

Talha Manzoor’s research centers on robotics, computer vision, and autonomous systems, with a particular emphasis on visual servoing and sensor integration for humanitarian applications. His most cited work, “Visual Servoing of a Sensor Arm for Mine Detection Robot Marwa,” developed at LUMS, demonstrates his ability to combine stereo vision with robotic arm control for landmine detection—a project with tangible social impact. By designing a custom vision system to maintain precise orientation and elevation of a metal detector payload, Manzoor contributed a practical solution to a critical safety challenge. Though his citation count (3) remains modest, this early work reflects a focused, application-driven approach to robotics. His contributions highlight the potential of low-cost, vision-guided systems in hazardous environments, and his research trajectory suggests a commitment to bridging theoretical control algorithms with real-world deployment. For students and researchers, Manzoor’s work offers a clear example of how robotic sensing and actuation can be tailored to address pressing humanitarian needs.