Papers
3
Total Citations
133
H-Index
3
About
Jorge Godoy’s research lies at the intersection of autonomous vehicle control, fuzzy logic systems, and fractional-order control, with a focus on enhancing safety and maneuverability in intelligent transportation. His most cited work, “A fuzzy aid rear-end collision warning/avoidance system” (2012, 94 citations), introduces a fuzzy logic-based approach to mitigate rear-end collisions, demonstrating his commitment to practical, safety-critical applications. Godoy has also advanced low-speed autonomous vehicle control using fractional PI controllers (2011, 27 citations), offering novel solutions for precise, stable navigation in constrained environments. His work on path following with backtracking (2012, 12 citations) addresses a key challenge in outdoor mobile robotics: enabling autonomous vehicles to navigate forward and reverse using GPS-based fuzzy controllers, thereby improving robustness in complex terrains. Through these contributions, Godoy has helped bridge the gap between theoretical control methods and real-world autonomous driving, with his research cited across robotics, control engineering, and automotive safety fields. His achievements underscore a career dedicated to making autonomous vehicles safer, more responsive, and more adaptable to dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1A fuzzy aid rear-end collision warning/avoidance system94 citations · 2012
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