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About

Nina Nikolova is a leading researcher in the field of robotics and automation, specializing in the modeling, robust control, and cyber-physical design of multi-operational machining robot systems. Her work focuses on integrating advanced control theory with practical industrial applications, particularly for robot manipulators like the FANUC M-430iA/4FH. Nikolova’s major contributions include developing analytical models for robotic performance, designing robust control systems that ensure stability and accuracy under conditions of a priori uncertainty, and proposing a novel interdisciplinary methodology for unifying the design and simulation of cyber-physical robot systems. Her most cited paper, “Description and modelling of robot-manipulator FANUC M-430iA/4FH” (2020), has garnered 10 citations and provides foundational insights into robot performance metrics. She has also pioneered the use of hardware-in-the-loop systems for PLC-based robust controller design, enabling experimental validation of control algorithms for metal processing. With a growing body of work that bridges classical and robust control synthesis, Nikolova’s research is instrumental in advancing the precision and reliability of industrial robots for drilling, milling, and grinding operations. Her achievements position her as a key figure in the evolution of digital robust control for modern manufacturing.