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For the Inventor, By the Inventor

Yamanashi, Japan

Takashi Nagatomi

This inventor holds 12 USPTO granted patents. Top assignee: Fanuc Corporation. Active years: 1989-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Takashi Nagatomi. Retrieved from https://idiyas.com/inventor/takashi-nagatomi

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

USPTO Granted Patents = 12

% Patents Active = 83.3

Average Co-Inventor Count = 1.8

ph-index = 5

Forward Citations = 91(Granted Patents)


Location History:

  • Tokyo, JP (1989)
  • Minamitsuru-gun, JP (1996 - 1998)
  • Oshino-mura, JP (1999)
  • Yamanashi, JP (2017 - 2020)

Company Filing History:

goldMedal12 out of 6,287 
 
Fanuc Corporation
 patents

Years Active: 1989-2026

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12 patents (USPTO):Explore Patents
1. 12731051 - Machine learning apparatus, control device, machining system, and machine learning method for learning correction amount of workpiece model (2026-09-08),
2. 12632031 - Machine learning device, cleaning prediction device, and cleaning system (2026-05-19),
3. 12165078 - Machine learning apparatus, control device, machining system, and machine learning method for learning correction amount of workpiece model (2024-12-10),
4. 10780513 - Wire electrical discharge machining system (2020-09-22),
5. 10328582 - Process system including robot that transfers workpiece to process machine (2019-06-25),
6. 9925630 - Device for holding workpiece and machine tool (2018-03-27),
7. 9656329 - Machining jig for rotatably supporting workpiece with respect to tool of machine tool and machining system (2017-05-23),
8. 5888037 - Method of and apparatus for moving feed shafts of numerical controlled (1999-03-30),
9. 5773949 - Cutter fracture detecting system (1998-06-30),
10. 5599142 - Drilling control apparatus (1997-02-04),
11. 5587915 - Tool damage prevention system (1996-12-24),
12. 4870744 - Tool exchange system for machining tools (1989-10-03),

Title: The Innovations of Takashi Nagatomi

Introduction

Takashi Nagatomi is a prominent inventor based in Yamanashi, Japan. He has made significant contributions to the field of machine learning and machining systems. With a total of 12 patents, his work focuses on enhancing the precision and efficiency of manufacturing processes.

Latest Patents

Nagatomi's latest patents include a machine learning apparatus, a control device, a machining system, and a machine learning method for learning correction amounts of workpiece models. The machine learning apparatus is designed to reduce errors between machined workpieces and their target shapes. It utilizes a state observation section to monitor machining state data and measurement data of errors, allowing for real-time adjustments based on the current machining environment. Additionally, his wire electrical discharge machining system features a securing device that effectively manages cut portions of workpieces during the machining process, ensuring precision and stability.

Career Highlights

Nagatomi is currently employed at Fanuc Corporation, a leading company in automation and robotics. His work at Fanuc has allowed him to develop innovative solutions that integrate advanced machine learning techniques into traditional machining processes. This integration has the potential to revolutionize the manufacturing industry by improving accuracy and reducing waste.

Collaborations

Throughout his career, Nagatomi has collaborated with notable colleagues such as Akihiko Fujimoto and Kenichi Ogawa. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Takashi Nagatomi's contributions to machine learning and machining systems exemplify the impact of innovation in manufacturing. His patents reflect a commitment to enhancing precision and efficiency in the industry. As technology continues to evolve, inventors like Nagatomi will play a crucial role in shaping the future of manufacturing processes.

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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