Papers
2
Total Citations
104
H-Index
2
About
Meng Xi is a leading researcher at the intersection of underwater robotics and atmospheric remote sensing, whose work bridges intelligent autonomous systems and environmental monitoring. His most impactful contribution lies in advancing reinforcement learning for underwater robot path planning, addressing the critical challenge of navigating large-scale, dynamic, and obstacle-ridden marine environments. His 2022 paper on this topic has garnered 97 citations, underscoring its significance in enabling safer and more efficient autonomous underwater operations. In parallel, Xi has made notable strides in atmospheric science, developing methods for remote sensing retrieval of aerosol types using geostationary satellites, a 2023 study that contributes to real-time air quality monitoring over China. This dual expertise—combining AI-driven robotics with satellite-based environmental sensing—demonstrates his versatility and the broad applicability of his work. Xi’s research not only pushes the boundaries of autonomous systems in challenging underwater domains but also provides critical tools for understanding atmospheric composition, making him a key figure in both robotics and Earth observation communities.
Research Focus
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Top Papers
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