Li Hou

Papers

Total Citations

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About

Li Hou’s research focuses on the control and kinematics of robotic systems, with particular expertise in parallel robots and manipulator dynamics. A key contribution is the development of a surrogate model for inverse kinematics of six-degree-of-freedom serial manipulators, leveraging kinematic symmetry to enhance real-time performance and robustness. This work, published in 2020, has garnered 18 citations and addresses critical challenges in robot control system efficiency. Hou also advanced adaptive control strategies for hydraulic servo systems in parallel robots, proposing an adaptive fuzzy sliding mode controller to handle high-order, nonlinear, and parameter-uncertain dynamics. This 2014 study, with 3 citations, tackles the complex control issues that degrade robot dynamic performance. Hou’s research bridges theoretical modeling and practical control, offering solutions that improve the accuracy and stability of robotic manipulators and parallel mechanisms. These contributions are valuable for students and researchers working on robot kinematics, adaptive control, and hydraulic systems, providing foundational insights for developing more robust and responsive robotic platforms in industrial and automation applications.