Papers
1
Total Citations
3
H-Index
1
About
Yongqi Zhao is a researcher specializing in chaos theory, mobile robotics, and digital signal processing, with a focus on developing intelligent path planning systems for autonomous platforms. His most-cited work introduces a novel chaos-based coverage path planning framework for mobile robots, which leverages unpredictable trajectories to efficiently cover areas of interest—a critical capability for applications in search-and-rescue, surveillance, and environmental monitoring. The framework addresses key challenges in trajectory control and maneuver smoothness, and it is implemented using digital signal processing techniques to enable real-time performance. This paper has already garnered attention with 3 citations since its 2024 publication, signaling early impact in the field. Zhao’s contributions bridge theoretical chaos dynamics with practical robotics, offering a promising alternative to conventional coverage algorithms. His work is particularly notable for tackling the trade-off between unpredictability and controllability, a persistent hurdle in chaos-based navigation. As a rising voice in mobile robotics, Zhao’s research holds potential for advancing autonomous systems in complex, unstructured environments.
Research Focus
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Top Papers
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