Nara, Japan

Madoka Hattori

This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Jtekt Corporation. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Madoka Hattori. Retrieved from https://idiyas.com/inventor/madoka-hattori

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 9.2

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: The Innovations of Madoka Hattori

Introduction

Madoka Hattori is a prominent inventor based in Nara, Japan. She has made significant contributions to the field of technology, particularly in the development of motion assisting devices. With a total of 3 patents to her name, Hattori continues to push the boundaries of innovation.

Latest Patents

One of her latest inventions is a motion assisting device, which aims to enhance mobility and support for users. This device showcases her commitment to improving the quality of life through technological advancements.

Career Highlights

Hattori is currently employed at Jtekt Corporation, where she applies her expertise in engineering and innovation. Her work at the company has allowed her to collaborate on various projects that focus on enhancing motion assistance technologies.

Collaborations

Throughout her career, Hattori has worked alongside talented individuals such as Yuki Kobayashi and Hiromichi Ohta. These collaborations have fostered a creative environment that encourages the exchange of ideas and innovative solutions.

Conclusion

Madoka Hattori's contributions to the field of motion assisting devices highlight her dedication to innovation and technology. Her work continues to inspire others in the industry, paving the way for future advancements.

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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