Ningbo, China

Hongyu Wan

This inventor holds 1 USPTO granted patent. Top assignee: Chinese Academy of Sciences. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hongyu Wan. Retrieved from https://idiyas.com/inventor/hongyu-wan

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

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% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Hongyu Wan in Robot Calibration

Introduction

Hongyu Wan is a notable inventor based in Ningbo, China. He has made significant contributions to the field of robotics, particularly in the area of robot calibration. His innovative methods enhance the precision and efficiency of robotic systems.

Latest Patents

Hongyu Wan holds a patent for a "Robot calibration method based on pose constraint and force sensing." This method involves several steps, including establishing a kinematic model, a geometric error model, and a non-geometric error model. The process includes installing an end calibration device to the robot and using a geometric constraint device within the robot's working space. The calibration method ensures accurate pose constraints and compensates for various errors, ultimately improving the robot's performance.

Career Highlights

Hongyu Wan is affiliated with the Chinese Academy of Sciences, where he continues to advance research in robotics. His work is characterized by a strong focus on practical applications and innovative solutions to complex problems in robot calibration.

Collaborations

He collaborates with esteemed colleagues such as Guilin Yang and Jianhui He, contributing to a dynamic research environment that fosters innovation and development in robotics.

Conclusion

Hongyu Wan's contributions to robot calibration exemplify the importance of innovation in advancing technology. His work not only enhances robotic capabilities but also sets a foundation for future advancements in the field.

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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