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About

Azrul Azim Abdullah Hashim is a robotics researcher specializing in the control and optimization of flexible robotic manipulators. His work addresses a critical challenge in industrial robotics: achieving precise position control in lightweight, flexible systems that offer advantages like lower power consumption and higher load capacity but suffer from inherent instability. Hashim’s major contributions lie in the comparative evaluation of control strategies. His most-cited paper (6 citations) rigorously benchmarks PID and fuzzy logic controllers for double-link manipulators, providing a clear framework for selecting between linear and non-linear approaches. He further extends this analysis by applying evolutionary optimization algorithms—specifically, the Spiral Dynamic Algorithm and Artificial Bee Colony—to fine-tune controller performance, demonstrating how nature-inspired methods can enhance precision in flexible systems. With a growing body of work that bridges classical control theory and modern computational intelligence, Hashim is establishing himself as a key voice in the development of smarter, more efficient robotic systems for advanced manufacturing.