Princeton, NJ, United States of America

Pradeep Bhatta

This inventor holds 3 USPTO granted patents. Top assignee: Gm Cruise Holdings LLC. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pradeep Bhatta. Retrieved from https://idiyas.com/inventor/pradeep-bhatta-wzr9cxq6

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

Calculating rank

% Patents Active = 66.7

Average Co-Inventor Count = 5.3

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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3 patents (USPTO):Explore Patents

Title: Pradeep Bhatta: Innovator in Autonomous Vehicle Technology

Introduction

Pradeep Bhatta is a notable inventor based in Princeton, NJ (US). He has made significant contributions to the field of autonomous vehicle technology. His innovative work focuses on enhancing the accuracy and reliability of autonomous navigation systems.

Latest Patents

Pradeep Bhatta holds a patent for the "Modification of the planned path of an autonomous vehicle to converge to the actual position." This patent outlines systems and techniques for adjusting the planned path of an autonomous vehicle to align with its actual path. The method involves determining pose errors and generating new planned poses to minimize discrepancies, thereby improving the vehicle's navigation capabilities. He has 1 patent to his name.

Career Highlights

Bhatta is currently employed at Gm Cruise Holdings LLC, where he continues to develop cutting-edge technologies in the autonomous vehicle sector. His work is instrumental in advancing the capabilities of self-driving cars, making them safer and more efficient.

Collaborations

Pradeep collaborates with talented individuals in his field, including Rushil Goradia and Dogan Gidon. These partnerships foster innovation and drive the development of new technologies in autonomous systems.

Conclusion

Pradeep Bhatta is a key figure in the realm of autonomous vehicle innovation. His contributions are paving the way for safer and more reliable self-driving 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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