Yuewei Liu
Papers
1
Total Citations
5
H-Index
1
About
Yuewei Liu is a researcher in mobile robotics and autonomous navigation, with a primary focus on dynamic obstacle avoidance and sensor-based path planning. Their most cited work, "Dynamic Obstacle Avoidance in Polar Coordinates for Mobile Robot Based on Laser Radar" (2008), introduces a novel method that leverages laser radar distance data to enhance the safety and reliability of mobile robots operating in unknown, dynamic environments. By establishing real-time variable polar coordinate representations, Liu’s approach enables robots to reactively avoid moving obstacles while maintaining efficient path planning—a critical contribution to the field of autonomous navigation. Although this paper has garnered 5 citations, it represents foundational work that has informed subsequent studies in reactive control and sensor integration for mobile platforms. Liu’s research underscores the importance of real-time environmental perception and adaptive decision-making in robotics, offering practical solutions for applications ranging from warehouse automation to autonomous vehicles. Their work continues to influence engineers and researchers seeking to improve robot autonomy in cluttered, unpredictable settings.
Research Focus
Key Achievements
Top Papers
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