Shaoqiong Yang

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About

Shaoqiong Yang is a researcher advancing the frontiers of autonomous underwater robotics, with a focus on bio-inspired design and intelligent navigation. Her work centers on three key areas: dead reckoning for hybrid autonomous underwater vehicles (HAUVs), multi-vehicle formation control, and the hydrodynamics of manta ray-inspired robots. Yang’s most cited paper (2024, 11 citations) introduces a novel dead reckoning method that integrates a dynamic model with ocean current data, significantly improving localization accuracy for HAUVs in complex marine environments—a critical contribution to long-duration autonomous missions. She also developed a virtual hinges-based method for coordinating multi-underwater glider formations (2023, 2 citations), enabling more stable and efficient group operations. Her study on the hydrodynamic characteristics of manta ray-inspired robots (2023, 2 citations) explores how bio-inspired designs can enhance maneuverability and energy efficiency, with implications for underwater rescue, submarine exploration, and environmental monitoring. Though early in her career, Yang’s innovative approaches to navigation and biomimetic robotics are laying groundwork for more capable, adaptive underwater systems.