Ruijun Liu

Beijing Technology and Business University

Papers

Total Citations

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About

Ruijun Liu is a robotics researcher whose work bridges advanced control theory, educational technology, and agricultural automation. His primary research areas include nonlinear control systems, robotic manipulator dynamics, and the application of artificial intelligence to real-world robotic tasks. A standout contribution is his work on event-triggered finite-time control for constrained robotic manipulators with flexible joints (2023, 13 citations), where he developed a novel control policy that ensures stability and performance under output constraints—a critical advancement for precision robotics. Liu is also the creator of the *Daran* robot (2021, 6 citations), an open-source, reconfigurable, and affordable platform designed to democratize STEM and programming education. This project reflects his commitment to making robotics accessible and engaging for learners. Additionally, his research on fruit tree pruning using BP neural networks (2019, 5 citations) demonstrates his ability to apply AI to agricultural robotics, aiming to enhance autonomy and reduce labor costs in precision farming. Through these diverse contributions, Liu has established himself as a versatile innovator, impacting both theoretical control systems and practical, educational, and agricultural robotics.