This inventor holds 8 USPTO granted patents. Top assignee: Fanuc Corporation. Active years: 2017-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017-2026
Title: Kenichi Ogawa: Innovator in Machine Learning and Machining Systems
Introduction
Kenichi Ogawa 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 8 patents to his name, Ogawa's work focuses on enhancing the precision and efficiency of machining processes.
Latest Patents
Ogawa's latest patents include a machine learning apparatus, control device, machining system, and a machine learning method for learning correction amounts of workpiece models. His machine learning apparatus is designed to reduce errors between machined workpieces and their target shapes. This apparatus observes machining state data and measurement data of errors, allowing it to learn correction amounts associated with these errors. Additionally, he has developed a controller and machine learning device that can adapt to changes in clamping force without requiring expensive equipment. This system utilizes various state variables to model machining conditions and optimize cutting forces.
Career Highlights
Kenichi Ogawa is currently employed at Fanuc Corporation, a leading company in automation and robotics. His work at Fanuc has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in the industry. His expertise in machine learning and machining systems has positioned him as a key figure in the field.
Collaborations
Ogawa collaborates with Takashi Nagatomi, a fellow innovator in the industry. Their partnership has led to the development of cutting-edge technologies that enhance machining processes and machine learning applications.
Conclusion
Kenichi Ogawa's contributions to machine learning and machining systems demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of the complexities involved in machining processes, and his work continues to influence the industry positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
