Guangdong, China

Haochen Yao

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Shenzhen Mammotion Innovation Co., Limited. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Haochen Yao. Retrieved from https://idiyas.com/inventor/haochen-yao

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Haochen Yao: Innovator in Robotics

Introduction

Haochen Yao is a prominent inventor based in Guangdong, China. He has made significant contributions to the field of robotics, particularly with his innovative designs and applications. His work is characterized by a commitment to advancing technology and improving user experiences.

Latest Patents

Haochen Yao holds a patent for a robot teaching device. This invention showcases his ability to merge educational methodologies with robotic technology, providing new avenues for learning and interaction.

Career Highlights

Yao is currently employed at Shenzhen Mammotion Innovation Co., Limited. His role at the company allows him to explore and develop cutting-edge robotic solutions that cater to various industries.

Collaborations

He has collaborated with notable colleagues, including Jidong Wei and Xiancai Cai. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Haochen Yao is a key figure in the robotics sector, with a focus on educational technology. His contributions, including his patent for a robot teaching device, highlight his innovative spirit and dedication to advancing 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]
Loading…