Hong Kong, China

Daochuan Wang

This inventor holds 1 USPTO granted patent. Top assignee: Hong Kong Centre for Logistics Robotics Limited. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daochuan Wang. Retrieved from https://idiyas.com/inventor/daochuan-wang

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


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of Daochuan Wang

Introduction

Daochuan Wang is a prominent inventor based in Hong Kong, China. He is known for his contributions to the field of robotics, particularly in the development of automated solutions for everyday tasks. His innovative spirit and dedication to advancing technology have made him a notable figure in the industry.

Latest Patents

Daochuan Wang holds a patent for a robotic lawn mower. This invention showcases his ability to combine technology with practical applications, making lawn maintenance more efficient and accessible for users.

Career Highlights

Wang is currently employed at the Hong Kong Centre for Logistics Robotics Limited. His work at this institution allows him to collaborate with other talented individuals in the field of robotics and logistics, further enhancing his contributions to the industry.

Collaborations

Some of his notable coworkers include Yunhui Liu and Yihao Liang. Their collective expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in robotics.

Conclusion

Daochuan Wang's work exemplifies the intersection of technology and practicality. His contributions, particularly in the realm of robotic solutions, continue to influence the industry positively.

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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