Company Filing History:
Years Active: 2023
Title: Innovations in Joint Robotics: The Work of Yingrui Chen
Introduction: Yingrui Chen, a talented inventor based in Chongqing, China, has made significant contributions to the field of robotics. His pioneering work focuses on developing innovative methods for improving the control of joint robots, a crucial advancement for various applications in automation and robotics technology.
Latest Patents: Yingrui Chen holds a notable patent titled "Neural Network Adaptive Tracking Control Method for Joint Robots." This patent discloses a robust method that utilizes neural networks to enable adaptive tracking control. The invention involves four key steps: establishing a joint robot system model, creating a state space expression with an error definition to address drive failure and actuator saturation, designing a PID controller, and employing these algorithms to control the trajectory motion of the joint robot. The patent effectively tackles several technical challenges, including drive saturation, parameter uncertainty, execution failures, and disturbance compensation.
Career Highlights: Yingrui Chen is associated with Dibi (Chongqing) Intelligent Technology Research Institute Co., Ltd., where he plays an integral role in advancing robotics technology. His innovative approach has contributed to enhancing the efficiency and reliability of joint robots, making them better suited for complex tasks in various industries.
Collaborations: Throughout his career, Chen has collaborated with esteemed colleagues such as Yongduan Song and Huan Liu. These partnerships have fostered a creative environment where groundbreaking ideas and solutions can emerge, further propelling the field of intelligent technology forward.
Conclusion: Yingrui Chen's work exemplifies the spirit of innovation within the robotics sector. His patent on neural network adaptive tracking control represents a leap forward in joint robot technology, promising greater efficiency and reliability. As his career progresses, Chen's contributions will undoubtedly continue to shape the future of robotics and automation, inspiring the next generation of inventors and engineers.