Muhammad Umar Anjum

National University of Sciences and Technology

Papers

Total Citations

H-Index

About

Muhammad Umar Anjum is a robotics researcher focused on intelligent manufacturing and cyber-physical systems, with key contributions in robotic manipulation, computer vision, and advanced composite materials processing. His work bridges the gap between industrial automation and cognitive robotics, particularly through vision-guided control systems for collaborative robots (cobots). In his highly cited 2023 paper, "Vision-Based Hybrid Detection For Pick And Place Application In Robotic Manipulators" (11 citations), Anjum demonstrated how integrating visual sensing with a UR5 cobot reduces positional uncertainty in dynamic environments—a critical advancement for flexible manufacturing. His 2024 survey, "Application of robotic manipulation for carbon fiber reinforced polymers manufacturing" (6 citations), systematically explores how robotic systems can address the growing demand for lightweight, high-strength composite parts in aerospace and automotive industries. By synthesizing state-of-the-art approaches in automated fiber placement and robotic layup, this work has become a foundational reference for researchers seeking to automate composite manufacturing. Anjum’s research directly addresses Industry 4.0 challenges, offering practical solutions that enhance precision, adaptability, and efficiency in modern production lines. His growing citation record reflects the increasing relevance of his work as industries worldwide pursue smarter, more autonomous manufacturing systems.