Ibrar Jan

Pakistan Institute of Engineering and Applied Sciences

Papers

Total Citations

H-Index

About

Ibrar Jan is a robotics researcher whose work focuses on advancing visual servoing systems—enabling robotic arms to precisely manipulate objects using camera feedback without requiring complex calibration. His key research areas include uncalibrated eye-in-hand visual servoing, robust control theory, and linear matrix inequality (LMI) approaches for robotic systems. Jan’s most significant contribution is developing control methods that eliminate the need for both camera calibration parameters and inverse kinematics, dramatically simplifying robotic control implementation. His landmark 2011 paper, "Uncalibrated eye‐in‐hand visual servoing: an LMI approach," has accumulated 13 citations and demonstrates control of a six-degree-of-freedom PUMA560 robotic arm using this novel approach. Building on this foundation, his 2012 work on robustness analysis addresses parametric uncertainties in vision-based control loops using quadratic Lyapunov functions, ensuring system stability even in uncalibrated environments. While his citation counts reflect the specialized nature of his research, Jan’s contributions are particularly valuable for practical robotics applications where traditional calibration is impractical or impossible, making his work relevant for researchers developing more adaptable and user-friendly robotic systems.