Yoshio Rubio

Papers

Total Citations

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About

Yoshio Rubio is a robotics researcher whose work focuses on intelligent control systems for autonomous vehicles and mobile robots. His most cited paper, "Automatic parallel parking algorithm for a car-like robot using fuzzy PD+I control" (2007, 13 citations), introduced a novel fuzzy logic-based approach to solving the complex parallel parking problem, demonstrating how soft computing techniques can enable precise maneuvering in constrained spaces. Building on this foundation, his 2018 study "Path Following Fuzzy System for a Nonholonomic Mobile Robot Based on Frontal Camera Information" (6 citations) advanced the field by integrating visual feedback with fuzzy control for path tracking, addressing the challenge of nonholonomic constraints in real-world navigation. Rubio's contributions are particularly notable for their practical orientation—bridging theoretical control methods with real-time sensor data to create robust, adaptive systems. His work has influenced subsequent research in autonomous parking and visual servoing, and his citation record reflects steady engagement from the robotics community. By combining fuzzy logic with PD+I control and camera-based perception, Rubio has helped lay groundwork for more intuitive, human-like autonomous driving behaviors.