Papers
2
Total Citations
17
H-Index
2
About
Xiaowei Jiang is a researcher whose work bridges the fields of multi-agent control systems and robotic perception. A key focus of their research is the development of advanced control strategies for uncertain multi-agent systems, most notably through event-triggered cooperative control. Their 2023 paper on this topic, which has garnered 9 citations, introduces a method that ensures output regulation errors converge to a small neighborhood of the origin, offering a robust solution for complex, distributed networks. This contribution is significant for applications requiring coordinated behavior under uncertainty. Complementing this theoretical work, Jiang has also made notable contributions to practical robotics. Their 2016 study on indoor 3D scene reconstruction for mobile robots, cited 8 times, demonstrates a pioneering use of the Microsoft Kinect sensor for creating 3D maps from RGB-D data. This work directly addresses the critical challenge of navigation and path planning for service robots in unknown environments. By combining rigorous control theory with applied perception systems, Xiaowei Jiang’s research provides a holistic approach to advancing autonomous systems, from foundational algorithms to real-world implementation.
Research Focus
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Top Papers
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