Yifei Xue

Papers

Total Citations

H-Index

About

Yifei Xue is a researcher specializing in robotics and autonomous navigation systems, with a particular focus on path planning algorithms and mobile robot navigation. Their most notable work centers on the development of hybrid navigation frameworks that combine classical and modern algorithmic approaches to enhance robot movement efficiency and safety in complex indoor environments. Xue's primary contribution lies in the fusion of optimized global planning methods with reactive local planning techniques. Their 2021 paper introduces an innovative navigation algorithm that integrates a fifth-order Bessel curve-optimized A* algorithm with the Dynamic Window Approach (DWA), addressing key limitations in traditional path planning by producing smoother, safer, and more computationally efficient trajectories for mobile robots. This work reflects a sophisticated understanding of both geometric optimization and real-time obstacle avoidance — two critical challenges in practical robotics deployment. While still in the early stages of building a citation record, with 2 citations accrued, Xue's research addresses highly relevant problems in the growing field of indoor autonomous robotics. As demand for intelligent navigation systems continues to rise across industries such as logistics, healthcare, and service robotics, Xue's methodological contributions position them as an emerging voice in applied robotics research.