Xiaojuan Hu

Papers

Total Citations

H-Index

About

Xiaojuan Hu is a pioneering researcher in mobile robotics and autonomous navigation, with a primary focus on developing efficient path planning algorithms for complex, constrained environments. Her most-cited work, "Efficiency-optimized path planning algorithm for car-like mobile robots in bilateral constraint corridor environments" (2025, 4 citations), introduces a novel approach that optimizes trajectory generation for robots operating in narrow, corridor-like spaces with bilateral obstacles—a critical challenge for warehouse automation, hospital logistics, and urban transportation. Hu’s major contribution lies in balancing computational efficiency with kinematic feasibility, enabling car-like robots to navigate tight corridors without collisions or excessive energy consumption. This work has garnered early attention for its practical applicability, with citations from researchers in robotics and control systems. Hu’s research bridges theoretical optimization and real-world deployment, offering scalable solutions for autonomous vehicles in constrained settings. Her achievements include advancing the state of the art in motion planning under bilateral constraints, a niche yet vital area for next-generation mobile robots. For students and researchers, Hu’s work exemplifies how algorithmic innovation can solve tangible engineering problems, making her a rising voice in the field of intelligent robotics.