Xinjia Xu

Guilin University of Electronic Technology

Papers

Total Citations

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About

Dr. Xinjia Xu is a robotics researcher whose work centers on advancing autonomous navigation for mobile robots, with a particular focus on path planning algorithms. Their most cited contribution, the 2022 paper "Implementation of IMRRT Path Planning Algorithm for Mobile Robot" (4 citations), addresses critical limitations in the widely used Rapidly-exploring Random Tree (RRT) algorithm. While RRT is valued for its strong search capability and straightforward implementation, Dr. Xu identified its inherent randomness, low search efficiency, and suboptimal path quality as key drawbacks. In response, they developed the Improved Memory RRT (IMRRT) algorithm, which enhances search efficiency and generates smoother, more practical paths for real-world mobile robot deployment. This work bridges the gap between theoretical algorithm design and practical robotic applications, offering a tangible solution for improving autonomous navigation in dynamic environments. Though early in their career, Dr. Xu's targeted improvements to a foundational algorithm demonstrate a keen ability to refine established techniques for greater real-world impact, making their research a valuable reference for students and engineers working on robot motion planning and intelligent systems.