Shafaat Ahmed Bazaz

Université de Versailles Saint-Quentin-en-Yvelines, Abdus Salam Centre for Physics

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About

Shafaat Ahmed Bazaz is a leading figure in robotics and microelectromechanical systems (MEMS), whose work bridges foundational control theory with cutting-edge sensor design. His most influential contribution is the "Three-Cubic Method," a seminal 1999 paper with 39 citations that introduced an optimal online trajectory generator for robot joints. This method, using an acceleration profile of three cubic polynomial segments, ensures smooth, constraint-satisfying motion—a practical breakthrough still referenced in robotics for its elegance and efficiency in handling velocity, acceleration, and wandering constraints. In recent years, Bazaz has advanced MEMS technology with a 2021 paper (19 citations) on a novel high-resolution gyroscope design. By leveraging mode-localization in weakly coupled resonators, his work offers a new sensing mechanism for angular rate detection, promising enhanced sensitivity and stability for inertial navigation systems. This innovation highlights his ability to tackle complex, interdisciplinary challenges. With a career spanning from foundational robotics algorithms to modern micro-sensor engineering, Bazaz’s research demonstrates lasting impact—his trajectory generation method remains a standard reference, while his MEMS contributions push the boundaries of precision measurement. His work is essential reading for students and researchers in robotics, control systems, and sensor design.