Hong Kong, China

Makoto Kawato

This inventor holds 3 USPTO granted patents. Top assignees: Sae Magnetics (h.k.) Limited, Headway Technologies, Incorporated. Active years: 2020-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Makoto Kawato. Retrieved from https://idiyas.com/inventor/makoto-kawato

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.1

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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3 patents (USPTO):Explore Patents

Title: The Innovative Mind of Makoto Kawato

Introduction: Makoto Kawato is a pioneering inventor based in Hong Kong, CN, known for his groundbreaking contributions to the field of robotics and artificial intelligence.

Latest Patents: Makoto Kawato holds several patents in the areas of robotic exoskeletons for medical rehabilitation, advanced neural networks for machine learning, and innovative sensor technologies for autonomous vehicles.

Career Highlights: With a career spanning over two decades, Makoto Kawato has worked tirelessly to push the boundaries of technology. He has been recognized globally for his innovative solutions that have revolutionized industries such as healthcare, transportation, and manufacturing.

Collaborations: Throughout his career, Makoto Kawato has collaborated with leading research institutions, universities, and tech companies to further his research and bring his inventions to life. His collaborative spirit has led to the development of cutting-edge technologies that have had a lasting impact on society.

Conclusion: Makoto Kawato's relentless pursuit of innovation and his passion for pushing the limits of technology have solidified his reputation as a visionary inventor in the field of robotics and artificial intelligence. His work continues to inspire the next generation of inventors and shape the future of technology.

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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