K. Sivayoganathan

Papers

Total Citations

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About

K. Sivayoganathan is a researcher specializing in intelligent robotic systems, with a focus on fuzzy logic control, neural networks, and adaptive automation for industrial assembly. His work addresses the fundamental challenge of uncertainty in robotic operations—particularly in contact-rich tasks where precise modeling is difficult. Sivayoganathan’s key contributions include developing a multi-axis fuzzy controller for industrial robots, which enables effective performance without requiring a complete dynamic system model. He also pioneered a novel approach to contact localization for intelligent robotic assembly, allowing systems to detect and correct angular and linear misalignment during component mating. Additionally, his adaptive learning method using neural networks for controlling contact force in assembly operations provides a flexible, model-free solution to handle real-world uncertainties. Though his most-cited papers each hold 6 citations, their collective impact lies in advancing practical, intelligent automation for manufacturing. Sivayoganathan’s research bridges theoretical control methods and real-world robotic applications, offering valuable insights for students and engineers working on adaptive robotics, assembly automation, and intelligent manufacturing systems.