Guangdong, China

Yongxian Yan

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Amicro Semiconductor Co., Ltd.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yongxian Yan. Retrieved from https://idiyas.com/inventor/yongxian-yan

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Yongxian Yan: Innovator in Visual Robotics

Introduction

Yongxian Yan is a notable inventor based in Guangdong, China. He has made significant contributions to the field of robotics, particularly in the development of methods for creating local point cloud maps. His innovative approach has the potential to enhance the capabilities of visual robots.

Latest Patents

Yongxian Yan holds a patent for a "Method for building a local point cloud map and vision robot." This patent describes a technique for constructing a local point cloud map by sampling point clouds that reflect the position of a large-range region around a robot. The method involves describing point clouds at different height positions in the form of a 3D histogram, which is crucial for improving the robot's navigation and perception.

Career Highlights

Yongxian Yan is currently associated with Amicro Semiconductor Co., Ltd., where he continues to work on advancing technologies in robotics. His expertise in visual mapping and robotics has positioned him as a key figure in his field.

Collaborations

Yongxian has collaborated with talented individuals such as Qinwei Lai and Gangjun Xiao, contributing to various projects that aim to push the boundaries of robotic technology.

Conclusion

Yongxian Yan's innovative work in visual robotics and his patent on local point cloud mapping exemplify his commitment to advancing technology in this field. His contributions are paving the way for future developments in robotics.

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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