Liqiang Hu

Papers

Total Citations

H-Index

About

Liqiang Hu’s research centers on mobile robotics, with a particular focus on path planning and obstacle avoidance using sensor-based navigation. His most cited work, "APF obstacle avoidance in polar coordinates for mobile robot based on laser radar" (2010), introduces a novel method that enhances the safety and reliability of autonomous navigation. By integrating an improved artificial potential field (APF) approach with real-time polar coordinate mapping from laser radar data, Hu addresses critical limitations in traditional APF methods, such as local minima and oscillation near obstacles. This contribution provides a more adaptive and robust framework for dynamic environments, enabling mobile robots to navigate complex spaces with greater precision. While his citation count remains modest, the work demonstrates foundational thinking in sensor-driven control systems. Hu’s research is particularly valuable for students and engineers working on real-time robotic systems, offering a practical bridge between theoretical potential field algorithms and hardware implementation. His focus on laser-based perception and polar coordinate transformation highlights a commitment to solving real-world navigation challenges, making his work a useful reference for those exploring autonomous vehicle and service robot applications.