Singapore, Singapore

Weicong Sng

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Weicong Sng: Innovator in Visual-Tactile Sensing for Robotics

Introduction

Weicong Sng is a prominent inventor based in Singapore, known for his innovative contributions to the field of robotics. His work focuses on enhancing robotic capabilities through advanced sensing technologies. With a keen interest in the intersection of visual and tactile sensing, Sng has developed groundbreaking solutions that push the boundaries of robotic learning and interaction.

Latest Patents

Weicong Sng holds a patent for an invention titled "Event-driven visual-tactile sensing and learning for robots." This patent describes a classifying sensing system that integrates both visual and tactile modalities. The system includes a first spiking neural network (SNN) encoder for processing vision sensor outputs and a second SNN encoder for tactile sensor outputs. These encoders work together to create a combination layer that merges the two modalities, ultimately feeding into a task SNN that classifies the integrated data. This innovative approach allows robots to better understand and interact with their environments.

Career Highlights

Sng is affiliated with the National University of Singapore, where he contributes to research and development in robotics. His work has garnered attention for its potential applications in various fields, including automation and artificial intelligence. Sng's dedication to advancing robotic technology is evident in his research endeavors and the impact of his inventions.

Collaborations

Throughout his career, Weicong Sng has collaborated with notable colleagues, including Chee Keong Tee and Hian Hian See. These partnerships have fostered a collaborative environment that enhances the innovation process and leads to significant advancements in robotic sensing technologies.

Conclusion

Weicong Sng's contributions to the field of robotics through his innovative patent on visual-tactile sensing systems exemplify the potential of technology to transform how robots learn and interact with their surroundings. His work continues to inspire advancements in robotics and artificial intelligence.

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