Jinan, China

Shilei Chu

This inventor holds 1 USPTO granted patent. Top assignee: Shandong University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shilei Chu. Retrieved from https://idiyas.com/inventor/shilei-chu

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Shilei Chu: Innovator in Mechanical Arm Technology

Introduction

Shilei Chu is a prominent inventor based in Jinan, China. He has made significant contributions to the field of robotics, particularly in the development of methods for enhancing the efficiency of mechanical arms. His innovative approach combines deep reinforcement learning with practical applications in packing and unpacking actions.

Latest Patents

Shilei Chu holds a patent for a method and system for cooperating packing actions and unpacking actions of mechanical arms based on deep reinforcement learning. This patent, titled "Method and system for cooperating packing actions and unpacking actions of mechanical arm based on deep reinforcement learning," focuses on learning the synergistic effects between packing and unpacking actions through a packing-unpacking network (PUN). The invention aims to improve packing precision and efficiency by integrating heuristic algorithms based on human experience with the PUN.

Career Highlights

Shilei Chu is affiliated with Shandong University, where he continues to advance research in robotics and automation. His work has garnered attention for its practical implications in various industries, particularly in logistics and manufacturing.

Collaborations

Shilei Chu collaborates with fellow researcher Ran Song, contributing to the advancement of their shared interests in mechanical systems and artificial intelligence.

Conclusion

Shilei Chu's innovative work in the field of mechanical arms showcases the potential of deep reinforcement learning in enhancing robotic efficiency. His contributions are paving the way for future advancements in automation technology.

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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