Osaka, Japan

Miyu Oishi

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Panasonic Intellectual Property Managment Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Miyu Oishi. Retrieved from https://idiyas.com/inventor/miyu-oishi

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Miyu Oishi: Inventor in Robot Teaching Systems.

Introduction

Miyu Oishi is an inventor based in Osaka, Japan. Her work includes a patented robot teaching system and method designed to support workers in teaching robot operations.

Latest Patents

Oishi is associated with 1 patent: “Robot Teaching System and Robot Teaching Method.” The system stores a three-dimensional model representing at least part of a robot, welding torch, or teaching member. It uses the model and operation-screen data to display information on a device that can be mounted to a worker, overlaying the display on the actual environment or showing the environment itself. The system can also update the model’s posture in response to the worker’s aerial hand movements, made in the space apart from the display device.

Career Highlights

Oishi is associated with Panasonic Intellectual Property Management Co., Ltd. Her patent focuses on an interactive approach to robot teaching that combines three-dimensional models, wearable displays, and gesture-based input.

Collaborations

Oishi’s listed coworkers include Kazuki Iwao and Hiroyoshi Ueda.

Conclusion

Miyu Oishi’s patented work brings together wearable displays and gesture-based interaction to support robot teaching in industrial settings.

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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