Jinan, China

Xing Fang


Average Co-Inventor Count = 6.2

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Inventor Xing Fang

Introduction

Xing Fang is a notable inventor based in Jinan, China. He has made significant contributions to the field of robotics, particularly in the area of motion control. With a total of 2 patents, his work focuses on enhancing the capabilities of robots through advanced control methods.

Latest Patents

Xing Fang's latest patents include a "Method and system for rhythmic motion control of robot based on neural oscillator." This invention involves acquiring the current state of the robot, along with the phase and frequency generated by a neural oscillator. The system then utilizes a preset reinforcement learning network to control the robot effectively. The design ensures the formation of expected rhythmic motion behavior while accelerating the training process of rhythmic motion reinforcement learning.

Another significant patent is the "Method for controlling motions of quadruped robot based on reinforcement learning and position increment." This method involves acquiring motion environment information and quadruped robot attitude information. It generates foot sole positions during motions and calculates changes in these positions to maintain the robot's balance during movement.

Career Highlights

Xing Fang is affiliated with Shandong University, where he continues to innovate and contribute to the field of robotics. His research focuses on integrating reinforcement learning with robotic motion control, which has the potential to revolutionize how robots interact with their environments.

Collaborations

Xing Fang collaborates with notable colleagues such as Wei Zhang and Jiapeng Sheng. Their combined expertise enhances the research and development of advanced robotic systems.

Conclusion

Xing Fang's contributions to robotics through his innovative patents demonstrate his commitment to advancing technology in this field. His work not only improves robotic motion control but also paves the way for future developments in robotics.

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