Liqiang Du
Papers
1
Total Citations
2
H-Index
1
About
Liqiang Du is a robotics researcher whose work focuses on improving autonomous navigation and obstacle avoidance for mobile robots. His key research areas include path planning, sensor-based perception, and the application of artificial potential field (APF) methods in real-time robotic systems. Du’s most cited paper, "APF obstacle avoidance in polar coordinates for mobile robot based on laser radar" (2010), introduces an innovative approach that leverages laser radar distance data to enhance the safety and reliability of robot movement. By reformulating the APF algorithm in polar coordinates, his method enables more responsive and adaptive obstacle avoidance in dynamic environments. Although his citation count is modest, this work represents a foundational contribution to integrating low-cost sensor data with classical control strategies. Du’s research is particularly valuable for students and engineers developing practical, real-world robotic systems where computational efficiency and real-time performance are critical. His approach demonstrates how combining traditional path planning techniques with modern sensing technology can yield robust solutions for autonomous navigation challenges.
Research Focus
Key Achievements
Top Papers
- 1