Kanagawa, Japan

Motohiro Horiuchi

This inventor holds 1 USPTO granted patent. Top assignee: Canon Kabushiki Kaisha. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Motohiro Horiuchi. Retrieved from https://idiyas.com/inventor/motohiro-horiuchi-8rtprbtw

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Motohiro Horiuchi: Robotics and Learning-Based Control

Introduction

Motohiro Horiuchi is an inventor based in Kanagawa, Japan, associated with Canon Kabushiki Kaisha. His patent work concerns robotics and the use of learned models to guide robot operations.

Latest Patents

Horiuchi is named on 1 patent: “Robot system, learning apparatus, information processing apparatus, learned model, control method, information processing method, method for manufacturing product, and recording medium.” The invention describes a robot system with an information-processing component that learns from information about forces a worker applies to a workpiece, the position of a worker’s body part, and the workpiece’s state. The system then controls the robot using the learned model’s output.

Career Highlights

Horiuchi’s listed patent reflects work at the intersection of robotics, machine learning, and manufacturing. It describes a way to use information from human work and workpiece conditions to inform robot control.

Collaborations

The supplied information identifies Akihiro Oda and Kazuhiko Shinagawa as Horiuchi’s coworkers. They are also associated with the patent.

Conclusion

Motohiro Horiuchi’s patent contribution focuses on applying learned models to robot control in manufacturing, using information about worker actions and workpiece conditions.

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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