Princeton, NJ, United States of America

Yingnan Cui


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Yingnan Cui in Robotic Manipulation

Introduction

Yingnan Cui is an accomplished inventor based in Princeton, NJ (US). He has made significant contributions to the field of robotics, particularly in the development of machine learning-based controllers for robotic manipulators. His innovative work has the potential to enhance the capabilities of robotic systems in various applications.

Latest Patents

Yingnan Cui holds a patent for a groundbreaking invention titled "Synthesizing machine learning-based controllers for underactuated robotic manipulators." This patent describes a computer-implemented system and method for synthesizing a controller for an underactuated robotic manipulator. The system includes a machine learning-based model with multiple neural network modules, each designed to approximate a function related to an underactuated controller. The parameters of these functions are learned during the model's training using a loss function that ensures structure preservation, integrability, and equilibrium assignment. This innovative approach represents a significant advancement in robotic control systems. He has 1 patent to his name.

Career Highlights

Yingnan Cui is currently employed at Siemens Aktiengesellschaft, where he continues to push the boundaries of robotic technology. His work at Siemens allows him to collaborate with leading experts in the field and contribute to cutting-edge projects that leverage machine learning and robotics.

Collaborations

Yingnan has worked alongside talented colleagues, including Yaofeng Zhong and Georgia Olympia Brikis. Their collaborative efforts have fostered an environment of innovation and creativity, leading to advancements in robotic manipulation technologies.

Conclusion

Yingnan Cui's contributions to the field of robotics, particularly through his patent on machine learning-based controllers, highlight his role as a leading inventor in this domain. His work at Siemens and collaborations with other experts further emphasize his commitment to advancing robotic technologies.

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