Lishui, China

Guangqing Yao

This inventor holds 1 USPTO granted patent. Top assignee: Zhejiang Taotao Vehicles Co., Ltd. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Guangqing Yao. Retrieved from https://idiyas.com/inventor/guangqing-yao-07pcucts

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovations of Guangqing Yao

Introduction

Guangqing Yao is a notable inventor based in Lishui, China. He has made significant contributions to the field of vehicle design, particularly in the development of scooters. His innovative approach has led to the creation of a patent that showcases his expertise and creativity.

Latest Patents

Guangqing Yao holds a patent for a scooter, which reflects his commitment to enhancing personal transportation solutions. This patent is a testament to his ability to combine functionality with modern design.

Career Highlights

Yao is currently employed at Zhejiang Taotao Vehicles Co., Ltd., a company known for its advancements in vehicle manufacturing. His role at the company allows him to apply his inventive skills in a practical setting, contributing to the development of new and improved vehicles.

Collaborations

Guangqing Yao has worked alongside talented colleagues, including Meijun Li and Yuqiang Fu. Their collaborative efforts have fostered an environment of innovation and creativity within their projects.

Conclusion

Guangqing Yao's contributions to the field of scooter design exemplify his innovative spirit and dedication to improving transportation. His work at Zhejiang Taotao Vehicles Co., Ltd. and his collaborations with fellow inventors further highlight his impact on the industry.

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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