Cupertino, CA, United States of America

Sagar Behere


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Sagar Behere: Innovator in AI Perception Systems

Introduction

Sagar Behere is an accomplished inventor based in Cupertino, CA. He has made significant contributions to the field of artificial intelligence, particularly in the development of perception systems. His innovative work focuses on enhancing the reliability and accuracy of these systems.

Latest Patents

Sagar Behere holds a patent for a "System and method for detecting errors and improving reliability of perception systems using logical scaffolds." This invention involves an artificial intelligence perception system designed to detect one or more objects. The system includes one or more processors, at least one sensor, and a memory device. The memory device comprises an image capture module, an object identifying module, and a logical scaffold module. The image capture and object identifying modules enable the processors to gather sensor information from a field of view, identify objects, and determine their properties. The logical scaffold module helps the processors ascertain whether the identified properties are true or false.

Career Highlights

Sagar Behere is currently employed at the Toyota Research Institute, Inc., where he continues to push the boundaries of AI technology. His work is instrumental in developing systems that improve the interaction between machines and their environments.

Collaborations

Sagar collaborates with talented individuals such as Nikos Arechiga Gonzalez and Soonho Kong. Their combined expertise fosters an innovative environment that drives advancements in AI perception systems.

Conclusion

Sagar Behere's contributions to artificial intelligence and perception systems exemplify the spirit of innovation. His patent and ongoing work at Toyota Research Institute, Inc. highlight his commitment to improving technology for better reliability and accuracy.

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