Yuridia Vega

Papers

Total Citations

H-Index

About

Yuridia Vega is a rising researcher in the fields of intelligent control systems and bio-inspired optimization algorithms, with a particular focus on robotics and automation. Her most-cited work, "Intelligent Search of Values for a Controller Using the Artificial Bee Colony Algorithm to Control the Velocity of Displacement of a Robot" (2021), demonstrates her core contribution: applying metaheuristic optimization techniques to solve complex engineering problems. In this study, Vega harnessed the Artificial Bee Colony Algorithm—a swarm intelligence method inspired by honeybee foraging behavior—to fine-tune controller parameters for precise robot velocity control. This approach showcases how nature-inspired algorithms can achieve high accuracy in parameter optimization, a critical challenge in modern robotics. While her citation count is currently modest (4 citations for her top paper), her work represents an important bridge between computational intelligence and practical control engineering. Vega’s research is particularly valuable for students and engineers seeking efficient, automated methods for tuning robotic systems, highlighting the growing impact of metaheuristics in industrial automation. As her publication record grows, her contributions promise to influence the next generation of adaptive, intelligent robotic controllers.