Israr Muhammad

Papers

Total Citations

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About

Israr Muhammad is a researcher specializing in robotics and control systems, with a particular focus on the precise manipulation of anthropomorphic robotic arms. His major contribution lies in advancing the autonomy and performance of flexible automation systems by addressing the critical challenge of friction in robotic joints. In his most cited work, "Control of an Anthropomorphic Manipulator using LuGre Friction Model - Design and Experimental Validation" (2021, 7 citations), Muhammad developed and experimentally validated a control strategy that integrates the LuGre friction model to significantly improve tracking accuracy and reduce positioning errors. This work bridges the gap between theoretical friction compensation and real-world robotic applications, offering a practical solution for industrial manipulators. His research is pivotal for enhancing the reliability of robotic arms in manufacturing, assembly, and other precision-driven tasks. By tackling friction—a persistent source of inefficiency—Muhammad’s contributions help push the boundaries of flexible automation, making robots more responsive and efficient in dynamic environments. His work is a valuable resource for students and engineers seeking to understand and implement advanced control techniques in robotics.