Muhammad Atif Imtiaz

University of Engineering and Technology Taxila

Papers

Total Citations

H-Index

About

Muhammad Atif Imtiaz is a researcher specializing in control systems, robotics, and embedded computer vision. His most cited work, "Control System Design, Analysis & Implementation of Two Wheeled Self Balancing Robot (TWSBR)" (2018, 15 citations), makes a significant contribution to mobile robotics by presenting a complete framework for modeling, analyzing, and implementing a self-balancing two-wheeled platform. This work addresses the inherent instability challenge of such robots, enabling precise navigation through tight spaces—a key advantage over multi-wheeled designs. In parallel, his paper "Embedded System Design for Visual Scene Classification" (2018, 9 citations) tackles the growing demand for efficient, low-cost visual sensing in robotics. Imtiaz proposes a framework that brings scene classification capabilities directly onto embedded systems, bridging the gap between computer vision algorithms and resource-constrained hardware. His work demonstrates a practical, systems-level approach to integrating control theory, mechatronics, and machine perception. With a cumulative impact of 24 citations on these two foundational papers, Imtiaz is establishing himself as a contributor to the development of intelligent, autonomous robotic systems that are both dynamically stable and perceptually aware.