Zhiqiang Yu

Papers

Total Citations

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About

Zhiqiang Yu is a researcher focused on mobile robotics, with key contributions in path planning and obstacle avoidance for dynamic environments. His work centers on integrating laser radar (LiDAR) with advanced control strategies to enhance the safety and reliability of autonomous navigation. Yu’s most cited paper, “Dynamic Obstacle Avoidance in Polar Coordinates for Mobile Robot Based on Laser Radar” (2008, 5 citations), introduces a novel method that uses real-time distance data from laser radar to construct a polar coordinate framework for path planning. This approach significantly improves a robot’s ability to navigate through unknown, changing surroundings. Building on this, his 2010 paper (2 citations) refines the technique by incorporating an improved artificial potential field (APF) method, further optimizing obstacle avoidance in polar coordinates. While his citation counts are modest, these works represent foundational steps in merging sensor data with geometric and potential field methods for reactive navigation. Yu’s research is particularly valuable for students and engineers seeking practical, sensor-driven solutions for mobile robot autonomy in cluttered or unpredictable settings, demonstrating a clear progression from raw data processing to intelligent decision-making.