Meyzieu, France

Atilla Baskurt

This inventor holds 1 USPTO granted patent. Top assignee: Naver Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Atilla Baskurt. Retrieved from https://idiyas.com/inventor/atilla-baskurt

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


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: Atilla Baskurt: Innovator in Multi-Object Navigation Systems

Introduction

Atilla Baskurt is a notable inventor based in Meyzieu, France. He has made significant contributions to the field of robotics, particularly in the area of navigation systems. His innovative work focuses on enhancing the capabilities of navigating robots in real-world environments.

Latest Patents

Atilla Baskurt holds a patent for "Systems and methods for multi-object navigation in real environments." This invention involves a navigating robot equipped with a feature module that detects objects in images captured by its camera. The mapping module generates a map that includes the locations and attributes of these objects. Additionally, the navigation module is trained to find and navigate to multiple objects in a predetermined order, ensuring efficient navigation in complex environments.

Career Highlights

Atilla is currently employed at Naver Corporation, where he continues to develop innovative solutions in robotics. His work has garnered attention for its practical applications in various industries, enhancing the functionality and efficiency of robotic systems.

Collaborations

Atilla collaborates with talented individuals such as Assem Sadek and Guillaume Bono. Their combined expertise contributes to the advancement of technology in the field of robotics.

Conclusion

Atilla Baskurt is a pioneering inventor whose work in multi-object navigation systems is shaping the future of robotics. His contributions are vital in creating more intelligent and capable navigating robots.

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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