Shizuoka, Japan

Yoshiharu Maeda

This inventor holds 1 USPTO granted patent. Top assignee: Atr Auditory and Visual Perception Research Laboratories. Active years: 1991.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yoshiharu Maeda. Retrieved from https://idiyas.com/inventor/yoshiharu-maeda-jv0007d1

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 98(Granted Patents)


Company Filing History:


Years Active: 1991

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1 patent (USPTO):Explore Patents

Title: Innovations of Yoshiharu Maeda

Introduction

Yoshiharu Maeda is a notable inventor based in Shizuoka, Japan. He has made significant contributions to the field of dynamical systems through his innovative patent. His work focuses on the intersection of neural networks and movement trajectory generation.

Latest Patents

Yoshiharu Maeda holds a patent for a "Movement trajectory generating method of a dynamical system." This invention utilizes neural network units, which include a cascade connection of multiple layers, to learn a vector field of differential equations that indicate the forward dynamics of a controlled object. The system ensures smooth movement while minimizing energy dissipation, allowing for effective trajectory formation and control input.

Career Highlights

Maeda is affiliated with Atr Auditory and Visual Perception Research Laboratories, where he continues to explore advancements in his field. His innovative approach has garnered attention and recognition within the scientific community.

Collaborations

He has collaborated with esteemed colleagues such as Mitsuo Kawato and Yoji Uno, contributing to a rich exchange of ideas and research in the area of auditory and visual perception.

Conclusion

Yoshiharu Maeda's work exemplifies the integration of neural networks in dynamic systems, showcasing his innovative spirit and dedication to advancing technology. His contributions continue to influence the field and inspire future research.

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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