Xianying Feng

Papers

Total Citations

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About

Dr. Xianying Feng is a leading researcher in mobile robotics, specializing in intelligent path planning and navigation systems for autonomous vehicles. Her work focuses on overcoming critical challenges in both global and local trajectory optimization, particularly for differential drive mobile robots (DDMRs). Dr. Feng’s most impactful contribution is her development of an improved Dynamic Windows Approach (DWA) that integrates energy consumption management with fuzzy logic control for local path planning. This innovative method, published in 2023 and garnering 63 citations, addresses the real-world need for efficient, adaptive navigation in dynamic environments. Additionally, her research on the Improved BSGA* Algorithm tackles persistent issues in global path planning, including long computation times, excessive search nodes, and path smoothness. By enhancing the classic A* algorithm, Dr. Feng’s work enables faster, more efficient route generation for DDMRs. Her contributions are vital for advancing autonomous navigation in applications ranging from warehouse logistics to service robotics, demonstrating a clear focus on practical, energy-aware solutions that improve both performance and operational longevity.