Xuetao Yang
Papers
1
Total Citations
3
H-Index
1
About
Xuetao Yang is a robotics researcher specializing in autonomous navigation, sensor fusion, and embedded control systems. His most cited work, "Design and Implementation of Self-balancing and Navigation Robot Based on ROS System" (2019), introduces a novel self-balancing path planning system that integrates monocular vision SLAM (Simultaneous Localization and Mapping) with multi-sensor information fusion. This system excels at processing high-motion imagery and operates effectively in environments with sparse visual features, addressing key challenges in real-time robot stability and navigation. Yang’s contributions bridge the gap between robust hardware control and intelligent software algorithms, advancing the practical deployment of autonomous robots in dynamic settings. With 3 citations, his work has laid groundwork for further research in ROS-based robotics and sensor fusion techniques. His achievements demonstrate a strong command of both theoretical principles and system-level implementation, making his research valuable for students and engineers exploring self-balancing platforms, visual SLAM, and autonomous navigation in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1