Sihuan Wu
Papers
2
Total Citations
8
H-Index
2
About
Sihuan Wu is pioneering the next generation of space robotics through innovative work on continuum manipulators—flexible, pneumatic arms designed for the confined, weightless environments of space stations. His research focuses on model-less tracking control, addressing the fundamental challenge of precisely guiding these highly compliant robots without relying on complex, often inaccurate mathematical models. Wu’s key contribution lies in integrating fuzzy logic with adaptive zeroing neural networks, creating robust control systems that can handle unknown dynamics and coupling motions inherent to continuum structures. His 2023 paper on robust tracking control for space in-cabin robots, with 5 citations, demonstrates how pneumatic continuum arms can offer safer, more efficient alternatives to traditional rigid robots in orbital settings. A 2025 follow-up, already garnering 3 citations, further refines this approach using fuzzy adaptive neural networks. By enabling reliable, model-free control of soft robots in space, Wu’s work is laying the groundwork for more dexterous, human-safe robotic assistants that could transform maintenance, assembly, and exploration tasks aboard future space stations.
Research Focus
Key Achievements
Top Papers
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