Papers
2
Total Citations
4
H-Index
1
About
Honggen Xing is a rising researcher in robotics and intelligent systems, with a primary focus on chaos-based control, autonomous navigation, and industrial automation. His most notable contribution is the development of a **chaos-based coverage path planning framework for mobile robots**, which leverages unpredictable trajectories to efficiently cover areas of interest—a breakthrough for applications like search-and-rescue and surveillance. This work, published in 2024, has already garnered **3 citations**, signaling early impact in the field. Xing also addresses critical infrastructure needs through his design and analysis of **intelligent petroleum pipeline inspection and cleaning robots**, targeting the inefficiencies in China’s expanding oil and gas pipeline network. This research, with **1 citation**, tackles real-world maintenance challenges, improving safety and operational efficiency. Xing’s work bridges theoretical chaos theory with practical digital signal processing implementation, offering novel solutions for trajectory control and coverage optimization. As an emerging scholar, his contributions are poised to influence both academic research and industrial applications in mobile robotics and pipeline automation.
Research Focus
Key Achievements
Top Papers
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- 2