Suzhou, China

Baolin Chen

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Sharkninja Operating LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Baolin Chen. Retrieved from https://idiyas.com/inventor/baolin-chen-lf1qques

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 

 

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: Baolin Chen and Vacuum Cleaner Proximity Detection

Introduction

Baolin Chen is an inventor associated with Suzhou, China. His patent work includes a vacuum-cleaner system designed to detect nearby walls or objects and adapt suction and lighting accordingly.

Latest Patents

Chen is credited with 1 patent: “System and Method for Detecting Walls or Objects Within a Specific Proximity of a Vacuum Floor Nozzle.” The invention describes a vacuum cleaner equipped with edge-detection sensors, a suction motor, a headlight assembly, light sensors, and a controller. The controller uses sensor input to determine whether the cleaner is near a vertical surface and, when it is, increases suction power to a predetermined level. It also measures ambient light and adjusts the headlight intensity to suit the surrounding conditions.

Career Highlights

Chen has been associated with SharkNinja Operating LLC and PPG Industries Ohio, Inc. His patent reflects work on sensor-guided vacuum operation, combining proximity detection, suction control, and adaptive illumination.

Collaborations

Chen’s listed coworkers include Austin Waid-Jones and Casey McClay.

Conclusion

Baolin Chen’s patent presents a practical approach to improving vacuum-cleaner performance near walls and objects by coordinating proximity sensing, suction adjustment, and responsive lighting.

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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