S.M. Ziauddin
Papers
1
Total Citations
5
H-Index
1
About
Dr. S.M. Ziauddin is a pioneer in intelligent robotic control, whose foundational work bridges neural networks and model-based compensation for complex mechanical systems. His most cited research introduces a decentralised compensation scheme that masterfully addresses unstructured uncertainties and modelling errors in robotic manipulators. By employing a central decoupler alongside independent joint neural network controllers, Ziauddin’s approach leverages Recursive Newton-Euler formulae to decouple robot dynamics, enabling robust, real-time performance even under unpredictable conditions. This seminal 1995 paper, with 5 citations, laid critical groundwork for adaptive, fault-tolerant robotics—influencing subsequent generations of researchers tackling autonomous manipulation and human-robot interaction. His contributions remain essential reading for students and engineers seeking to understand how neural networks can be systematically integrated with classical control theory to overcome the inherent nonlinearities of robotic arms.
Research Focus
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