Mountain View, CA, United States of America

Pararth Shah

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.1

ph-index = 1

Forward Citations = 12(Granted Patents)


Location History:

  • Mountain View, CA (US) (2019)
  • Sunnyvale, CA (US) (2024)

Company Filing History:


Years Active: 2019-2025

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3 patents (USPTO):Explore Patents

Title: Pararth Shah: Innovator in Robotic Control Systems

Introduction

Pararth Shah is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of robotics, particularly in the area of natural language processing and robotic control systems. With a total of three patents to his name, Shah is recognized for his innovative approaches to enhancing human-robot interaction.

Latest Patents

One of Shah's latest patents focuses on controlling a robot based on free-form natural language input. This invention utilizes deep reinforcement learning to train a model that determines the appropriate robotic action for completing various tasks. The model can operate at multiple time steps, taking into account current sensor data and user-provided natural language instructions. This allows the robot to navigate to specific landmarks while considering intermediary steps, thereby improving its ability to understand and execute complex commands.

Career Highlights

Shah is currently employed at Google Inc., where he continues to push the boundaries of robotic technology. His work has been instrumental in developing systems that allow robots to interpret and act upon natural language commands, making them more accessible and user-friendly.

Collaborations

Shah collaborates with notable colleagues such as Dilek Zeynep Hakkani-Tur and Juliana Kew. Their combined expertise contributes to the advancement of innovative solutions in the field of robotics.

Conclusion

Pararth Shah's contributions to robotic control systems exemplify the intersection of technology and human interaction. His work not only enhances the functionality of robots but also paves the way for more intuitive user experiences.

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