Tokyo, Japan

Ayaka Kume

This inventor holds 2 USPTO granted patents. Top assignee: Preferred Networks, Inc.. Active years: 2021-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ayaka Kume. Retrieved from https://idiyas.com/inventor/ayaka-kume

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 = 3.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Ayaka Kume: Innovator in Learning Devices

Introduction

Ayaka Kume is a prominent inventor based in Tokyo-to, Japan. She has made significant contributions to the field of learning devices and systems. With a total of 2 patents, her work focuses on enhancing the capabilities of devices that assist in learning and grasping technologies.

Latest Patents

Kume's latest patents include innovative technologies such as a learning device, learning method, learning model, detection device, and grasping system. One of her notable inventions is an estimation device that comprises a memory and at least one processor. This processor is designed to acquire information regarding a target object and estimate the location and posture of a gripper that can grasp the target object. The estimation process utilizes an output from a neural model, which takes the target object information as input. The estimated posture information includes details that can express rotation angles around multiple axes.

Career Highlights

Ayaka Kume is currently employed at Preferred Networks, Inc., where she continues to develop her innovative ideas. Her work is instrumental in advancing the technology behind learning devices and systems.

Collaborations

Kume collaborates with notable colleagues such as Hitoshi Kusano and Eiichi Matsumoto, contributing to a dynamic and innovative work environment.

Conclusion

Ayaka Kume is a trailblazer in the field of learning devices, with her patents reflecting her commitment to innovation and technology. Her contributions are paving the way for future advancements in this important area.

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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