Papers
11
Total Citations
226
H-Index
7
About
Chifu Yang is a robotics and control systems researcher whose work has significantly advanced the understanding and practical control of spatial parallel robotic manipulators. His research focuses primarily on six-degree-of-freedom (6-DOF) electrohydraulic parallel robots, with particular emphasis on decoupling control strategies, dynamic modeling, kinematics analysis, and state estimation for complex multi-DOF systems. Yang's most influential contribution is his development of decoupled-space control (DSC) frameworks, leveraging singular value decomposition to untangle the inherently coupled dynamics of parallel robots — work that has garnered over 120 citations across his two most-cited papers alone. His 2011 paper on decoupling control for spatial electrohydraulic parallel robots remains his landmark publication with 74 citations. Complementing this, his early work on real-time state estimation and forward kinematics using the Global Newton-Raphson method established critical computational tools for practical robot deployment. Yang has also contributed to adaptive robust control under system uncertainties and Kane-method-based dynamic modeling for simulation and control design purposes. More recently, he has explored bio-inspired robotics, including humanoid eyeball systems driven by artificial muscles. Collectively, his publications reflect a sustained commitment to bridging theoretical control frameworks with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 6Adaptive robust control for spatial hydraulic parallel industrial robot12 citations · 2011
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- 10Humanoid robot eyeballs driven by bubble artificial muscles3 citations · 2024