Taichung, Taiwan

Shih-yuan Wang

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Feng Chia University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shih-yuan Wang. Retrieved from https://idiyas.com/inventor/shih-yuan-wang-n9k4eucd

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shih-yuan Wang and Intelligent Construction Robotics

Introduction

Shih-yuan Wang is an inventor based in Taichung, Taiwan, associated with Feng Chia University. His patent work concerns intelligent construction robotics, combining machine learning, building information, and construction scheduling.

Latest Patents

Wang is listed as an inventor on 1 patent: “Intelligent Scheduling System for Construction Robot and Method for Generating an Interpretation.” The invention describes a system with a learning module that uses point-cloud data and building information data to generate and store building models. During machine interpretation, a judging module compares incoming point-cloud data with stored models, selects the most similar model or generates another model, and produces a construction schedule corresponding to the selected model.

Career Highlights

Wang’s listed patent highlights an approach to helping construction robots interpret building environments and plan work. By linking model evaluation with schedule generation, the system aims to support more informed construction operations.

Collaborations

Wang’s listed coworker is Yu-Ting Sheng, who is a woman. The patent information provided does not specify her role in the invention.

Conclusion

Shih-yuan Wang’s patent work at Feng Chia University focuses on applying machine learning and building data to construction-robot interpretation and scheduling.

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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