Nan Xiao

Chinese University of Hong Kong, Shenzhen, Kagawa University

Papers

Total Citations

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About

Nan Xiao is a researcher whose work spans robotics, autonomous systems, and localization technologies, with contributions to both terrestrial and underwater robotic platforms. Xiao's research addresses fundamental challenges in robot navigation and spatial reasoning, developing algorithmic and systems-level solutions that push the boundaries of what autonomous robots can achieve in complex environments. One of Xiao's notable contributions is an optimization-based methodology for improving robot localization accuracy using range-only data, leveraging diverse sensing modalities including Wi-Fi, Bluetooth, UWB tags, LiDAR, and cameras. This work offers a flexible, sensor-agnostic framework particularly valuable in GPS-denied environments where precise positioning remains a persistent challenge. Earlier in their career, Xiao explored the frontier of underwater micro-robotics, proposing a novel spiral particle pathway searching approach for three-dimensional path planning of underwater microrobots — a technically demanding problem given the complex fluid dynamics and spatial constraints involved. This work also introduced a multi-microrobot system architecture integrating a mother submarine with deployable micro-agents. While Xiao's citation counts remain modest, reflecting either early-career status or work in specialized niches, the breadth of their research — from wireless localization optimization to bio-inspired underwater robotics — signals a versatile and forward-thinking contributor to the autonomous systems community.