Csaba Budai

Budapest University of Technology and Economics

Papers

Total Citations

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About

Csaba Budai is a researcher whose work sits at the intersection of mechatronics, nonlinear dynamics, and evolutionary robotics. His primary research areas include the analysis of friction-induced vibrations in sampled-data systems and the development of novel optimization algorithms for robotic control. Budai’s most cited paper, "Effect of dry friction on vibrations of sampled-data mechatronic systems" (2016, 13 citations), provides critical insights into how discrete-time control and Coulomb friction interact to produce complex oscillatory behavior—a fundamental challenge in precision mechatronics. His experimental work on a single-axis robot, detailed in a 2013 paper (4 citations), rigorously investigates the limitations imposed by sampling and quantization in digital position control, bridging theory with practical industrial implementation. More recently, Budai has ventured into bio-inspired computation with the "Colonial Bacterial Memetic Algorithm" (CBMA, 2025, 2 citations), an advanced optimization method that fuses cultural algorithms with bacterial co-evolution, applied here to a darts-playing robot. This trajectory—from foundational nonlinear dynamics to cutting-edge metaheuristics—demonstrates a versatile and impactful career, making Budai a notable figure for students and researchers interested in the control and optimization of intelligent robotic systems.