Tempe, AZ, United States of America

Kowshik Thopalli

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Kowshik Thopalli: Innovator in Efficient Visual Navigation

Introduction

Kowshik Thopalli is an accomplished inventor based in Tempe, AZ (US). He has made significant contributions to the field of navigation technology, particularly through his innovative patent that enhances visual navigation systems. His work focuses on integrating semantic features with advanced machine learning techniques to improve navigation efficiency.

Latest Patents

Kowshik Thopalli holds a patent titled "System and method for efficient visual navigation." This invention outlines a method, apparatus, and system designed for efficient navigation in a navigation space. The process involves determining semantic features and their respective 3D positional information from captured image content and depth-related content. By utilizing neural networks, the system combines this information to create an intermediate representation of the scene, which aids in understanding the spatial relationships among semantic features. Ultimately, this technology provides navigation paths, models of the navigation space, and explanations of navigation actions for mobile agents.

Career Highlights

Kowshik Thopalli is currently employed at SRI International, where he continues to develop innovative solutions in navigation technology. His expertise in machine learning and computer vision has positioned him as a key contributor to advancements in this field.

Collaborations

Kowshik has collaborated with talented individuals such as Han-Pang Chiu and Zachary Seymour, enhancing the scope and impact of his work.

Conclusion

Kowshik Thopalli's contributions to efficient visual navigation demonstrate his commitment to innovation and technology. His patent reflects a significant advancement in navigation systems, showcasing the potential for improved user experiences in various applications.

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