Edson E. Cruz‐Miguel
Papers
5
Total Citations
91
H-Index
4
About
Edson E. Cruz‐Miguel is a rising authority in intelligent control systems for robotics and motion applications. His core research focuses on developing advanced fuzzy logic and PID-type controllers to tackle critical challenges in autonomous navigation, trajectory tracking, and system stability. His most influential work, a 2020 paper on a PID-type fuzzy logic controller for motion control (66 citations), established a foundational approach for reducing steady-state error and energy consumption in industrial machinery and robots. Cruz‐Miguel has since extended these principles to wheeled mobile robots, where his 2025 kinematic fuzzy controller (14 citations) enables precise trajectory tracking in virtual environments. He also addresses real-world safety and stability, notably through an adaptive PID-like fuzzy controller for anti-slip systems in quarter-car robots (2023) and metaheuristic optimization of LQR controllers for two-wheel balancing robots (2025). His recent work integrating fuzzy logic with GPS for terrestrial mobile robot navigation (2024) underscores his commitment to robust, real-world autonomy. With a growing citation record and innovative contributions across simulation and application, Cruz‐Miguel is shaping the next generation of adaptive, efficient control systems for mobile and industrial robotics.
Research Focus
Key Achievements
Top Papers
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