Xinyuan Xu
Papers
2
Total Citations
40
H-Index
2
About
Xinyuan Xu is a researcher at the forefront of intelligent robotics and multi-agent systems, with a primary focus on autonomous underwater vehicles (AUVs) and service robotics. Their most impactful contribution is the development of a novel "Hunting Algorithm for Multi-AUV Based on Dynamic Prediction of Target Trajectory in 3D Underwater Environment" (2020), which has garnered 38 citations. This work addresses a critical challenge in multi-robot systems—improving cooperative target hunting efficiency by enabling AUVs to dynamically predict and intercept moving targets in complex three-dimensional underwater environments. Xu also contributed to practical service robotics through the design of an intelligent disinfection robot (2022), integrating ROS-based control and Gmapping for autonomous area disinfection with voice activation. This work demonstrates a commitment to translating research into real-world applications, particularly for public health and safety. By bridging theoretical algorithms with practical implementations, Xu’s research advances both the capabilities of multi-agent underwater systems and the accessibility of autonomous service robots, making significant strides in robotics for environmental and societal benefit.
Research Focus
Key Achievements
Top Papers
- 1
- 2Discussion on a Method of Designing Intelligent Disinfection Robot2 citations · 2022