Singapore, Singapore

Tasbolat Taunyazov

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tasbolat Taunyazov. Retrieved from https://idiyas.com/inventor/tasbolat-taunyazov

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

Calculating rank

% 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: The Innovations of Tasbolat Taunyazov

Introduction

Tasbolat Taunyazov is a notable inventor based in Singapore, recognized for his contributions to robotics and sensory technology. His innovative work focuses on enhancing the capabilities of robots through advanced sensing systems.

Latest Patents

Tasbolat Taunyazov holds a patent for an "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 input. The system merges these modalities to produce a comprehensive output for classification, showcasing a significant advancement in robotic sensory integration.

Career Highlights

He is affiliated with the National University of Singapore, where he contributes to research and development in robotics. His work is characterized by a commitment to pushing the boundaries of how robots perceive and interact with their environments.

Collaborations

Some of his notable coworkers include Chee Keong Tee and Hian Hian See, who collaborate with him on various projects related to sensory technology and robotics.

Conclusion

Tasbolat Taunyazov's innovative work in sensory systems for robots exemplifies the potential of technology to enhance robotic capabilities. His contributions are paving the way for future advancements in the field.

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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