Taichung City, Taiwan

Yu-Ting Sheng

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yu-Ting Sheng. Retrieved from https://idiyas.com/inventor/yu-ting-sheng-i6qjjgi0

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yu-Ting Sheng: Advancing Intelligent Construction Robotics

Introduction

Yu-Ting Sheng is an inventor associated with Taichung City, Taiwan, and Feng Chia University. His work includes an invention focused on intelligent scheduling and interpretation for construction robots.

Latest Patents

Sheng is associated with 1 patent: “Intelligent Scheduling System for Construction Robot and Method for Generating an Interpretation.” The invention describes a system that learns from point cloud and building information data to create and store building models. During operation, a judging module compares new point cloud data with stored models, selects the most similar model when appropriate, or generates another model. The system then produces a construction schedule corresponding to the selected or newly generated model.

Career Highlights

Sheng’s patent addresses the use of machine learning and building data to support construction robot interpretation and scheduling. The work connects model generation with decisions about construction tasks.

Collaborations

Sheng’s listed coworker is Shih-yuan Wang, who is a woman. His company affiliation is Feng Chia University.

Conclusion

Yu-Ting Sheng’s patent presents an approach to construction robotics that combines learned building models, point cloud interpretation, and schedule generation.

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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