Liaoning, China

Qingliang Song

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Chinese Academy of Sciences. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Qingliang Song. Retrieved from https://idiyas.com/inventor/qingliang-song

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

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations of Qingliang Song in Robotics

Introduction

Qingliang Song is a notable inventor based in Liaoning, China. He has made significant contributions to the field of robotics, particularly with his innovative designs that address specific challenges in robotic mobility.

Latest Patents

One of Qingliang Song's key inventions is a soft ground crawling robot. This invention is designed to operate effectively on soft ground, overcoming limitations faced by existing crawling robots that struggle on surfaces like sand. The robot features front wheels connected to the body shell, a universal wheel at the rear, and rotary stepping motors that facilitate movement. The design allows the robot to crawl on soft ground while maintaining stability and functionality.

Career Highlights

Qingliang Song is affiliated with the Chinese Academy of Sciences, where he has been involved in various research projects and innovations. His work has garnered attention for its practical applications in robotics, particularly in environments where traditional robots may fail.

Collaborations

He has collaborated with notable colleagues, including Jinguo Liu and Chenguang Chang, contributing to advancements in robotic technology.

Conclusion

Qingliang Song's contributions to robotics, particularly through his soft ground crawling robot, highlight his innovative spirit and dedication to solving real-world problems. His work continues to inspire advancements in the field of 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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