Tokyo, Japan

Hideyuki Ichiwara

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Hitachi, Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hideyuki Ichiwara. Retrieved from https://idiyas.com/inventor/hideyuki-ichiwara

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Hideyuki Ichiwara

Introduction

Hideyuki Ichiwara is a prominent inventor based in Tokyo, Japan. He is known for his contributions to the field of robotics and learning devices. His innovative work has led to the development of a unique learning device that enhances robot control systems.

Latest Patents

Ichiwara holds a patent for a learning device and robot control system. This device comprises a learning unit that utilizes a model read from a model definition unit in accordance with a desired action of a robot. It learns measurement information, captured images, and instruction information. The device also includes a weight storage unit that stores a weight for a model learned by the learning unit. An inference unit predicts the intention of the instruction information and infers the desired action of the robot, ultimately predicting a drive command for the robot to perform the desired action.

Career Highlights

Ichiwara is currently employed at Hitachi, Ltd., where he continues to innovate in the field of robotics. His work has significantly impacted the development of intelligent systems that can learn and adapt to new information.

Collaborations

Ichiwara has collaborated with notable colleagues such as Hiroshi Ito and Kenjiro Yamamoto. Their combined expertise has contributed to advancements in robotic technologies.

Conclusion

Hideyuki Ichiwara's innovative contributions to robotics and learning devices exemplify the potential of technology to enhance machine learning and control systems. His work continues to inspire advancements in the field.

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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