Jiang Chang

Harbin Institute of Technology, Heilongjiang Institute of Technology, Harbin Engineering University

Papers

Total Citations

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About

Jiang Chang is a researcher in mobile robotics, with a focus on path planning, trajectory tracking, and stabilization control for nonholonomic wheeled systems. His work centers on developing intelligent algorithms that enable mobile robots to navigate complex environments and execute precise movements. Chang’s most-cited paper, "A new path-planning algorithm for mobile robot based on neural network" (2003, 12 citations), introduces a neural network approach to model the environment and compute a collision energy function, advancing autonomous navigation. In "Trajectory tracking control of nonholonomic wheeled mobile robots" (2010, 8 citations), he proposes a nonlinear state feedback control law that stabilizes the closed-loop system, addressing key challenges in precise motion control. His 2009 paper on stabilization control (2 citations) further extends these ideas using polar coordinates for service robots. While his citation counts are modest, Chang’s contributions are foundational to the control and path planning of wheeled mobile robots, offering practical solutions for service and industrial applications. His work remains relevant for researchers exploring neural network-based navigation and nonlinear control in robotics.