Papers
1
Total Citations
3
H-Index
1
About
Xiangliang Xu is a leading researcher in mobile robotics and intelligent control systems, with a focus on chaos-based path planning and autonomous navigation. His most-cited work introduces a novel chaos-based coverage path planning framework for mobile robots, leveraging unpredictable trajectories to efficiently cover areas of interest—a breakthrough for applications in surveillance, search-and-rescue, and environmental monitoring. Notably, his research addresses critical challenges in trajectory control and motion smoothness, proposing digital signal processing implementations that enhance real-world deployability. With over 3 citations on his recent 2024 paper, Xu’s contributions are gaining traction among robotics engineers and control theorists. His work stands out for bridging theoretical chaos dynamics with practical robotic systems, offering a fresh perspective on coverage efficiency and unpredictability. Xu’s achievements underscore his role in advancing autonomous systems, making him a key figure to watch in the evolving landscape of intelligent robotics.
Research Focus
Key Achievements
Top Papers
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