Abdul Ghafoor

National University of Medical Sciences, National University of Sciences and Technology, University of the Sciences

Papers

Total Citations

H-Index

About

Abdul Ghafoor is a robotics researcher whose work centers on the mechanics of robotic grasping, with a particular focus on soft-finger contact models and fine motion control. His most influential contribution, the 2004 paper "Stiffness Modeling of the Soft-Finger Contact in Robotic Grasping" (68 citations), introduces a novel elastic model that uses screw theory and line springs to capture rotational effects and stiffness properties at the contact interface—a foundational advance for understanding how compliant fingers interact with objects. Earlier, in 2000, he explored "Fine motion control based on constraint criteria under pre-loading configurations" (16 citations), establishing bounds on displacement for achieving precise, controlled movements in robotic grasps. His work on the "Grasp Stiffness Matrix for Soft Finger Contact Model" (3 citations) further formalizes a practical analytical model that maps contact stiffnesses into translational and rotational components via congruence transformation. Collectively, Ghafoor’s research bridges theoretical mechanics and practical robotics, providing engineers with tools to design more dexterous and reliable grippers. His insights into pre-loading and stiffness mapping continue to inform both industrial automation and prosthetic hand development.