Chongqing, China

Kuilong Yang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 16.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Kuilong Yang - Innovator in Joint Robot Control Systems

Introduction

Kuilong Yang is a prominent inventor based in Chongqing, China. He has made significant contributions to the field of robotics, particularly in the development of control systems for joint robots. His innovative approach combines advanced algorithms with practical applications, showcasing his expertise in this cutting-edge technology.

Latest Patents

Kuilong Yang holds a patent for a "Neural network adaptive tracking control method for joint robots." This patent outlines a method that includes robust adaptive control and neural adaptive control. The process involves several key steps: establishing a joint robot system model, creating a state space expression and error definition that accounts for drive failure and actuator saturation, designing a PID controller, and utilizing these components to control the trajectory motion of the joint robot. This invention addresses critical technical challenges such as drive saturation, parameter uncertainty, and execution failure during system operation.

Career Highlights

Kuilong Yang is associated with Dibi (Chongqing) Intelligent Technology Research Institute Co., Ltd. His work at this institute emphasizes the integration of neural networks in robotic systems, enhancing their adaptability and performance. His innovative contributions have positioned him as a key figure in the field of intelligent robotics.

Collaborations

Kuilong Yang collaborates with notable colleagues, including Yongduan Song and Huan Liu. Their combined expertise fosters a dynamic research environment that drives innovation in robotic technologies.

Conclusion

Kuilong Yang's work in neural network adaptive tracking control for joint robots exemplifies the intersection of innovation and practical application in robotics. His contributions are paving the way for advancements in intelligent robotic systems, making a significant impact in the field.

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