San Francisco, CA, United States of America

Gaurav Paruthi


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Gaurav Paruthi: Innovator in Robotic Control Systems

Introduction

Gaurav Paruthi is a notable inventor based in San Francisco, CA, recognized for his contributions to robotic control systems. With a focus on enhancing robotic vision and manipulation, he has developed innovative solutions that bridge the gap between perception and action in robotics.

Latest Patents

Gaurav holds a patent for "Systems and methods for active perception and coordination between robotic vision systems and manipulators." This patent describes a robotic control system that utilizes active perception to gather relevant information about the robot, its environment, and objects within it. The system allows robots to allocate computational resources effectively, particularly for object manipulation. It also enables the analysis of objects from various distances and viewpoints, enriching the robot's visual experience and facilitating the learning of abstract representations of its surroundings. Inspired by the primate visual-motor system, this innovation leverages active perception to achieve human-like hand-eye coordination in manipulation tasks.

Career Highlights

Gaurav Paruthi is currently associated with Ocado Innovation Limited, where he continues to push the boundaries of robotic technology. His work focuses on integrating advanced perception systems into robotic platforms, enhancing their functionality and adaptability in complex environments.

Collaborations

Gaurav collaborates with talented individuals such as David Gabriel Hallock and Youssef Zaky, contributing to a dynamic team that drives innovation in robotics.

Conclusion

Gaurav Paruthi's work in robotic control systems exemplifies the intersection of technology and innovation. His contributions are paving the way for more advanced and capable robotic systems that can interact with their environments in increasingly sophisticated ways.

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