Liqian Feng

Papers

Total Citations

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About

Liqian Feng is a researcher in mobile robotics, with a focus on autonomous navigation, simultaneous localization and mapping (SLAM), and sensor-based perception. Their work addresses fundamental challenges in enabling robots to operate intelligently in unknown or complex environments. Feng’s most-cited paper introduces a genetic algorithm-based method for optimizing parameters in local path planning, achieving improved navigation efficiency. Another key contribution demonstrates the implementation of gmapping—a laser-based SLAM algorithm—on embedded systems, advancing the deployment of autonomous vehicles on resource-constrained hardware. Feng also developed a global localization system using LIDAR sensors, allowing a mobile robot to determine its position from any starting point within a known 2D occupancy grid map. With over 20 cumulative citations, Feng’s research provides practical, algorithm-driven solutions for real-world robotic autonomy. Their work is particularly relevant for students and engineers interested in integrating optimization techniques with sensor-based navigation and embedded SLAM systems.