Wuhan, China

Jingnan Yan

This inventor holds 1 USPTO granted patent. Top assignees: China Yangtze Power Co., Ltd, Wuhan Digital Design and Manufacturing Innovation Center Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jingnan Yan. Retrieved from https://idiyas.com/inventor/jingnan-yan

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

Calculating rank

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: Jingnan Yan and Vision-Guided Robotic Programming for Hydraulic Turbine Processing.

Introduction

Jingnan Yan is an inventor based in Wuhan, China, whose work includes robotic vision-guided processing technology. His patent describes a method for programming a robot to process hydraulic turbine top covers using binocular structured-light vision.

Latest Patents

Yan is associated with 1 patent: “In-Situ Robot Programming Method for Hydraulic Turbine Top Cover Based on Binocular Structured Light Vision.” The method calibrates a binocular structured-light camera with a robot to establish coordinate transformations. The camera captures and joins data from the annular area to be processed, while point-cloud algorithms determine the processing trajectory and plan. This approach supports rapid, vision-guided programming, adapts to different top-cover sizes, and is designed to improve real-time performance and robustness against uncertainty.

Career Highlights

Yan’s listed company affiliations include China Yangtze Power Co., Ltd. and Wuhan Digital Design and Manufacturing Innovation Center Co., Ltd. His patent work addresses intelligent processing for hydraulic turbine components.

Collaborations

Yan’s listed coworkers include Tao Wu and Yichuan Ran.

Conclusion

Jingnan Yan’s patent applies binocular structured-light vision and point-cloud processing to make robotic programming for hydraulic turbine top covers more adaptable, systematic, and robust.

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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