Medford, MA, United States of America

Gyan Tatiya

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Carnegie Mellon University, Robert Bosch. Active years: 2026.

USPTO Granted Patents = 1 

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: Gyan Tatiya: Innovator in Semantic Audio-Visual Navigation

Introduction

Gyan Tatiya is a notable inventor based in Medford, MA (US). He has made significant contributions to the field of machine learning and navigation technologies. His innovative approach combines audio and visual data to enhance device navigation in complex environments.

Latest Patents

Gyan Tatiya holds a patent titled "Knowledge-driven scene priors for semantic audio-visual embodied navigation." This patent describes a method of controlling navigation of a device in an environment using machine learning models. The process involves receiving visual and audio observation data, determining classification scores for objects and regions, and encoding visual information based on these scores. Additionally, it includes determining audio-semantic feature embeddings that indicate spatial relationships between objects and regions, ultimately outputting a state representation corresponding to the device's state within the environment. He has 1 patent to his name.

Career Highlights

Throughout his career, Gyan Tatiya has worked with prominent organizations such as Robert Bosch and Carnegie Mellon University. His experience in these institutions has allowed him to develop and refine his innovative ideas in the field of navigation and machine learning.

Collaborations

Gyan has collaborated with talented individuals, including Jonathan Francis and Luca Bondi. These partnerships have contributed to the advancement of his research and inventions.

Conclusion

Gyan Tatiya is a pioneering inventor whose work in semantic audio-visual navigation showcases the potential of machine learning in enhancing device navigation. His contributions continue to influence the field and inspire future innovations.

Profile summary based on public USPTO records.
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