José R. García-Martínez
Papers
1
Total Citations
3
H-Index
1
About
José R. García-Martínez is a robotics researcher whose work centers on intelligent control systems, particularly for autonomous and dynamically unstable platforms. His most notable contribution is the experimental validation of a fuzzy logic-based controller for two-wheeled balancing robots (TWBRs), a domain where precision and real-time adaptability are critical. In his highly cited 2025 study, he designed a PD-type fuzzy controller that uses seven linguistic input values to determine proportional action, enabling smooth and robust balancing without complex mathematical models. This work has garnered early attention with 3 citations, reflecting its practical significance in mobile robotics and control engineering. García-Martínez’s approach bridges classical control theory with soft computing, offering a computationally efficient solution for nonlinear systems. His research has implications for service robots, personal transporters, and educational platforms, demonstrating how fuzzy logic can simplify the stabilization of inherently unstable mechanical systems. By focusing on experimental evaluation rather than simulation alone, he provides a replicable framework for real-world deployment, making his contributions valuable for both students and practitioners seeking accessible yet effective control strategies.
Research Focus
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Top Papers
- 1