Province, RI, United States of America

Xinyu Liu

This inventor holds 1 USPTO granted patent. Top assignee: Mitsubishi Electric Research Laboratories, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xinyu Liu. Retrieved from https://idiyas.com/inventor/xinyu-liu-hynnbc04

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Xinyu Liu: Innovator in Robotic Control Systems

Introduction

Xinyu Liu is a prominent inventor based in Province, RI (US). He has made significant contributions to the field of robotics, particularly in the development of methods for controlling robotic actions through advanced neural networks.

Latest Patents

Xinyu Liu holds 1 patent for his innovative work titled "Method and system for generating a sequence of actions for controlling a robot." This patent describes a method, system, and computer program product that utilizes a neural network, including an action sequence decoder, to generate action sequences for robots. The technology is designed to enable robots to perform tasks by learning from recordings of human actions.

Career Highlights

Liu is currently employed at Mitsubishi Electric Research Laboratories, Inc., where he continues to push the boundaries of robotic technology. His work focuses on applying neural networks to enhance the capabilities of robots in performing complex tasks.

Collaborations

Some of his notable coworkers include Chiori Hori and Jonathan Le Roux, who contribute to the innovative environment at Mitsubishi Electric Research Laboratories.

Conclusion

Xinyu Liu's contributions to robotic control systems exemplify the intersection of artificial intelligence and practical applications in robotics. His innovative methods are paving the way for more advanced and capable robotic systems in the future.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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