Abdul Attayyab Khan
Ingegneria dei Sistemi (Italy), University of Genoa, Bahria University
Papers
5
Total Citations
207
H-Index
4
About
Abdul Attayyab Khan is a prominent robotics and control systems researcher whose work sits at the intersection of industrial automation, mechatronics, and advanced control theory. His most influential contribution, a comprehensive 2016 review on mechatronic systems and industrial robotics (77 citations), established him as a key synthesizer of knowledge on robotic manipulators, examining critical variables such as degrees of freedom, payload capacity, and automation requirements across diverse industrial settings. Complementing this, his 2015 studies on robotic manipulator control — collectively accumulating over 100 citations — introduced sophisticated approaches including Sliding Mode Control (SMC) and Passivity-Based Control (PBC) techniques, combined with disturbance-observer frameworks to counter real-world challenges such as joint friction, coupled dynamics, and external perturbations. Khan has also demonstrated a commitment to applied and educational robotics, developing a novel track-drive mobile robotic platform (2013) designed to give students hands-on experience with control systems concepts. His more recent work explores autonomous robotic manipulation in garment handling using Gaussian mixture-based feature extraction, signaling an expanding research vision toward service and assistive robotics. With over 200 cumulative citations, Khan's contributions meaningfully advance both theoretical rigor and practical implementation in modern robotics.
Research Focus
Key Achievements
Top Papers
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