Helei Du

Papers

Total Citations

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About

Helei Du is a researcher advancing the field of mobile robotics, with a primary focus on motion control and autonomous navigation. His work addresses critical challenges in robotic path tracking and path planning, particularly for tracked and wheeled mobile robots operating in complex environments. Du’s most cited paper, "Path Tracking Motion Control Method Of Tracked Robot Based On Improved LQR Control" (2022, 22 citations), introduces an enhanced Linear Quadratic Regulator (LQR) controller that significantly improves trajectory tracking accuracy by leveraging a Lagrange-based error kinematics model. Building on this, his 2023 paper "Path Planning of Mobile Robot Based on Improved Artificial Potential Field Method" (14 citations) tackles two persistent problems in traditional approaches—target unreachability and local minima entrapment—by incorporating a distance factor between the robot and the goal. These contributions demonstrate Du’s ability to refine foundational control and planning algorithms for real-world robotic applications. With a growing citation impact, his work is particularly valuable for researchers and students interested in practical solutions for autonomous ground vehicles, offering clear improvements over classical methods in both theoretical and applied robotics.