Fuzhong Wang

Henan Polytechnic University, China University of Mining and Technology

Papers

Total Citations

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About

Fuzhong Wang is a researcher in mobile robotics, with a focus on sensor fusion, obstacle detection, and autonomous navigation. His work addresses critical challenges in enabling robots to perceive and safely interact with dynamic environments. Wang’s most-cited paper, “Obstacle detection algorithm for mobile robot based on multi-sensor” (2012, 4 citations), proposes a fast detection method that fuses vision and ultrasonic sensor data to estimate distances to rectangular obstacles, improving reliability for driver assistance and robot navigation. His earlier study, “Obstacle avoiding strategy of mobile robot via binocular stereovision” (2008, 3 citations), advances real-time dynamic obstacle avoidance by integrating road region detection, self-organization, and autonomous planning. Together, these contributions underscore Wang’s impact on developing practical, sensor-driven solutions for autonomous systems. Though his citation counts are modest, his work lays foundational groundwork for safer, more adaptive mobile robots—a key step toward widespread deployment in real-world settings. Wang’s research remains relevant for students and engineers exploring low-cost, efficient obstacle avoidance in robotics.