Ziang Wei

Wuhan Textile University, Wuhan Institute of Technology

Papers

Total Citations

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About

Ziang Wei is a researcher in robotics and intelligent control, with a focus on energy-efficient motion planning and underactuated system stabilization. His work addresses critical challenges in industrial automation, particularly for welding robots and planar manipulators. In his most-cited paper, "Optimal trajectory planning of robot energy consumption based on improved sparrow search algorithm" (2024, 16 citations), Wei proposes a novel trajectory planning method that reduces energy consumption by optimizing joint coordination using an enhanced sparrow search algorithm—a bio-inspired metaheuristic. This contribution is significant for sustainable manufacturing and cost reduction in robotic operations. Additionally, in "A stable control method for planar robot with underactuated constraints via motion planning and intelligent optimization" (2023), he introduces a two-stage control strategy that combines motion planning with intelligent optimization to stabilize robots with fewer actuators than degrees of freedom. This work advances the field of underactuated robotics, which is vital for lightweight, cost-effective designs. With a growing citation record, Wei’s research demonstrates practical impact in both energy efficiency and control theory, making him a promising contributor to modern robotics.