Yin Guofu

Papers

Total Citations

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About

Yin Guofu is a researcher specializing in robotics and intelligent control systems, with a focus on teleoperation and agricultural automation. His work bridges the gap between theoretical control methods and practical robotic applications, particularly in challenging environments. One of his key contributions is the development of a Radial Basis Function (RBF) neural network PID controller for bilateral servo control systems, designed to enhance the performance of master-slave robots operating in hazardous settings like space, deep sea, or battlefields. This work, though modestly cited, demonstrates his innovative approach to force feedback and complex manipulation. In agricultural robotics, Yin has also contributed to vision sensor design for harvest robots, advancing field automation. While his citation counts are currently limited, his research lays foundational groundwork for future advancements in teleoperation and precision agriculture. Yin’s work reflects a commitment to solving real-world problems through robust control and sensing technologies, making him a notable figure in the early stages of these applied robotics fields.