Sugar Lane, TX, United States of America

Yu Xuan Liu

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Yu Xuan Liu: Innovator in Robotic Systems and Computer Vision

Introduction

Yu Xuan Liu is a prominent inventor based in Sugar Lane, TX (US). He has made significant contributions to the field of robotics and artificial intelligence, holding 2 patents that showcase his innovative approach to robotic picking systems.

Latest Patents

Liu's latest patents include "Systems and methods for robotic picking" and "Determine depth with pixel-to-pixel image correspondence for three-dimensional computer vision." The first patent focuses on robotic devices designed for picking items from a bin, utilizing computer-vision systems to generate three-dimensional information about the bin and its contents. This technology allows the robotic device to determine effective strategies for item retrieval and to perturb the bin's contents when necessary to create new pick-up points. The second patent relates to a computer-vision system integrated with a robotic arm, which employs artificial neural networks to generate depth maps from two-dimensional images, enhancing the robot's ability to interact with its environment.

Career Highlights

Yu Xuan Liu is currently employed at Embodied Intelligence Inc., where he continues to develop cutting-edge technologies in robotics and artificial intelligence. His work is instrumental in advancing the capabilities of robotic systems, particularly in the area of automated item retrieval.

Collaborations

Liu collaborates with talented individuals such as Mostafa Rohaninejad and Nikhil Mishra, contributing to a dynamic team focused on innovation in robotics.

Conclusion

Yu Xuan Liu's contributions to robotic systems and computer vision exemplify the potential of technology to enhance automation and efficiency. His patents reflect a commitment to advancing the field and improving the functionality of robotic devices.

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