Weijie Li

Papers

Total Citations

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About

Weijie Li is a robotics researcher whose work focuses on intelligent path planning and autonomous navigation for wheeled mobile robots. Their most cited paper, "An improved target-oriented path planning algorithm for wheeled mobile robots" (2022, 14 citations), introduces a novel hybrid approach that integrates an enhanced A* algorithm for global path planning with an optimized Dynamic Windows Approach (DWA) for local obstacle avoidance. This method allows robots to achieve optimal, target-oriented trajectories in complex environments, addressing key challenges in real-time navigation and posture control. Li's contributions are significant for advancing the autonomy and efficiency of mobile robots in applications ranging from warehouse logistics to service robotics. By improving both global route optimization and local reactive control, their work bridges a critical gap in practical robotic deployment. With growing recognition in the field, Li continues to develop algorithms that enhance robot adaptability and performance, making their research a valuable reference for students and engineers working on intelligent mobile systems.