Saad Jamshed Abbasi
Papers
18
Total Citations
172
H-Index
9
About
Saad Jamshed Abbasi is a robotics and control systems researcher whose work sits at the intersection of advanced trajectory tracking, robust control design, and teleoperation — with a particular focus on high-stakes applications such as nuclear power plant dismantling and assistive robotics. His research has made meaningful contributions to solving some of the most challenging problems in robotic manipulator control, including inverse kinematics for multi-degree-of-freedom systems and the management of complex, uncertain dynamics in hydraulic manipulators. Abbasi is perhaps best recognized for his development and application of sliding mode control (SMC) strategies, including terminal SMC with sliding perturbation observers (TSMCSPO) and disturbance-observer-based variants, which enable precise trajectory tracking even under significant system uncertainties and external disturbances. His 2020 paper introducing Dual Particle Swarm Optimization (DPSO) for real-time inverse kinematics in six-DOF robots has garnered 28 citations, reflecting its practical impact. Across his body of work — accumulating over 130 citations — he has addressed bilateral teleoperation, sensorless force estimation, and assistive rehabilitation robotics. His research consistently bridges rigorous theoretical control design with real-world engineering demands, making it highly relevant for both academic researchers and practicing robotics engineers.
Research Focus
Key Achievements
Top Papers
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- 8Robust Control Design of 6-DOF Robot for Nuclear Power Plant Dismantling10 citations · 2019
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