Company Filing History:
Years Active: 2024-2025
Title: The Innovative Contributions of Yaofeng Zhong
Introduction
Yaofeng Zhong is a prominent inventor based in West Windsor, NJ (US). He has made significant contributions to the field of robotics and machine learning, holding a total of 2 patents. His work focuses on synthesizing advanced controllers for robotic systems, showcasing his expertise in integrating machine learning with engineering principles.
Latest Patents
Yaofeng Zhong's latest patents include groundbreaking technologies that enhance the functionality of robotic manipulators. The first patent, titled "Synthesizing machine learning-based controllers for underactuated robotic manipulators," describes a computer-implemented system and method for creating a controller for underactuated robotic manipulators. This system utilizes a machine learning-based model with multiple neural network modules, each designed to approximate functions related to the controller. The parameters of these functions are learned during the model's training, ensuring that they meet specific conditions such as structure preservation and equilibrium assignment.
The second patent, "Physics informed neural network for learning non-Euclidean dynamics in electro-mechanical systems for synthesizing energy-based controllers," outlines a method for synthesizing controllers for dynamical systems. This innovative approach involves a feeder neural network that estimates an ordinary differential equation (ODE) from time series training data. The neural network is configured to learn the dynamics of a physical system by encoding a Hamiltonian representation of the dynamics, which is crucial for controlling the system effectively.
Career Highlights
Yaofeng Zhong is currently employed at Siemens Aktiengesellschaft, where he continues to push the boundaries of technology in robotics and machine learning. His work at Siemens allows him to collaborate with leading experts in the field, further enhancing his contributions to innovative solutions.
Collaborations
Some of Yaofeng Zhong's notable coworkers include Biswadip Dey and Amit Chakraborty. Their collaborative efforts contribute to the advancement of technology and the development of cutting-edge solutions in their respective fields.
Conclusion
Yaofeng Zhong's innovative work in synthesizing machine learning-based controllers for robotic systems exemplifies the intersection of technology and engineering. His contributions are paving the way for future advancements in robotics, making him a significant figure in the field.