Papers
1
Total Citations
3
H-Index
1
About
Wanning Yu is a rising researcher in nonlinear dynamics and chaos theory, with a focus on generating complex chaotic attractors and applying them to real-world robotics. Their key research areas include discrete-time chaotic systems, multi-scroll attractor design, and chaos-based path planning for autonomous mobile robots. Yu’s major contribution lies in developing a novel symmetrization approach that doubles the number of scrolls in a discrete map, creating symmetric pseudo-multi-scroll attractors with high phase-space complexity. This work, published in 2024 and already garnering 3 citations, demonstrates immediate impact by linking theoretical chaos generation to practical mobile robot navigation, where the attractor’s complexity enables efficient, unpredictable path planning. Yu’s research bridges abstract dynamical systems and tangible engineering applications, offering a fresh perspective on how chaotic signals can enhance robotic autonomy. Their innovative use of attractor doubling stands out as a notable achievement, promising further advances in secure communications and swarm robotics. With a clear trajectory from foundational theory to applied robotics, Wanning Yu is a name to watch in the next generation of chaos engineers.
Research Focus
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Top Papers
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