Ningyu Wang

Guilin University of Electronic Technology

Papers

Total Citations

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About

Ningyu Wang is a robotics researcher whose work centers on advancing autonomous navigation and path planning for mobile robots. His most notable contribution is the development of the extended random artificial potential field method, a novel approach that addresses critical limitations in traditional artificial potential field algorithms. By tackling the persistent problems of local minima entrapment and kinematic infeasibility, Wang’s method produces smoother, more realistic trajectories that better respect robot motion constraints. This work, published in 2023, has already garnered attention with 3 citations, signaling its growing relevance in the field. Wang’s research sits at the intersection of control theory, optimization, and robotics, offering practical solutions for real-world deployment in cluttered or dynamic environments. His contributions are particularly valuable for applications in warehouse logistics, autonomous vehicles, and service robotics, where reliable and efficient path planning is essential. As a researcher, Wang demonstrates a clear ability to identify fundamental algorithmic weaknesses and propose elegant, implementable fixes—a skill that positions him as a rising voice in intelligent robotics.