Singapore, Singapore

Yongjun Wee

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Delta Electronics Int'l (Singapore) Pte Ltd. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yongjun Wee. Retrieved from https://idiyas.com/inventor/yongjun-wee

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: Yongjun Wee and Autonomous Robot–Elevator Co-Riding

Introduction

Yongjun Wee is an inventor based in Singapore. His patent work addresses how an autonomous mobile robot can share an elevator with people.

Latest Patents

The provided information lists one patent for Wee: “System and Method for Autonomous Mobile Robot to Ride and Co-Share Elevator with Human(s).” The invention describes software modules for detecting and locating people, identifying them and estimating their states, interacting with them, and positioning a robot within an elevator’s confined space. During an elevator-riding task, the system detects and counts people inside or outside the elevator, interacts with them, and uses the results to determine whether the robot should enter or restart the task.

Career Highlights

Wee works at Delta Electronics Int’l (Singapore) Pte Ltd. His listed patent focuses on coordinating autonomous robot movement with human presence in elevators.

Collaborations

The provided information names Chun-Lin Chen and Srikiran Rao Surathi as Wee’s coworkers. Their specific contributions to the patent are not stated.

Conclusion

Yongjun Wee’s listed invention explores practical ways for autonomous mobile robots to share elevator space with people through detection, interaction, and positioning technologies.

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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