Papers
3
Total Citations
37
H-Index
3
About
Lingyu Wang is a robotics researcher whose work bridges continuum mechanics, space robotics, and sustainable manufacturing. His key research areas include continuum robot shape reconstruction, vision-based space object localization, and energy-efficient industrial robotics. Wang’s most impactful contribution is a novel shape reconstruction method for continuum robots that fuses inertial measurement units (IMUs) with vision sensors using Pythagorean Hodograph–Bézier curves, enabling real-time, high-accuracy control—a breakthrough cited 18 times since 2023. He also advanced space body control through vision-based object recognition and precise localization, achieving robust detection for on-orbit services like rendezvous and docking (12 citations). Most recently, Wang developed a data-driven MLP framework to predict and optimize industrial robot energy consumption under unknown load conditions, addressing a critical gap in sustainable automation (7 citations). His work uniquely combines theoretical modeling with practical sensor fusion, earning recognition for tackling real-world challenges from surgical continuum robots to space missions. Wang’s research continues to shape intelligent robotics, with his methods being adopted for adaptive control in unstructured environments.
Research Focus
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