Singapore, Singapore

Sheng Yuan Jethro Kuan

This inventor holds 2 USPTO granted patents. Top assignee: National University of Singapore. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sheng Yuan Jethro Kuan. Retrieved from https://idiyas.com/inventor/sheng-yuan-jethro-kuan

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


% Patents Active = 50.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Sheng Yuan Jethro Kuan

Introduction

Sheng Yuan Jethro Kuan is an accomplished inventor based in Singapore. He has made significant contributions to the field of robotics through his innovative patent. His work focuses on enhancing the capabilities of robots by integrating visual and tactile sensing systems.

Latest Patents

Sheng Yuan Jethro Kuan holds a patent for an invention titled "Event-driven visual-tactile sensing and learning for robots." This invention features a classifying sensing system that includes a first spiking neural network (SNN) encoder for vision and a second SNN encoder for tactile sensing. The system merges these modalities to produce a comprehensive output for classification purposes. This innovative approach enhances the ability of robots to perceive and interact with their environment effectively.

Career Highlights

Sheng Yuan Jethro Kuan is affiliated with the National University of Singapore, where he contributes to research and development in robotics. His work is characterized by a strong emphasis on integrating advanced sensing technologies to improve robotic learning and interaction.

Collaborations

Sheng Yuan Jethro Kuan collaborates with notable colleagues, including Chee Keong Tee and Hian Hian See. Their combined expertise fosters a dynamic research environment that drives innovation in the field of robotics.

Conclusion

Sheng Yuan Jethro Kuan's contributions to robotics through his patent demonstrate his commitment to advancing technology. His innovative approaches to visual and tactile sensing systems are paving the way for more intelligent and responsive robotic systems.

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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