Munich, Germany

Brent Austin

USPTO Granted Patents = 4 

Average Co-Inventor Count = 8.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):

Title: Brent Austin: Innovator in Robotic Control Technologies

Introduction

Brent Austin is a notable inventor based in Munich, Germany. He has made significant contributions to the field of robotics, particularly in the development of innovative control systems. With a total of 4 patents, his work focuses on enhancing robotic capabilities through advanced learning techniques.

Latest Patents

Brent's latest patents include groundbreaking systems and methods for using imitation learning in training and refining robotic control policies. These implementations involve training robotic control policies based on human demonstrations of various tasks. Additionally, his work allows for the refinement of these policies through human interventions during task performance. This approach not only improves the efficiency of robotic tasks but also enables the robot to assess its performance and seek human assistance when necessary.

Another significant patent involves simulation-driven robotic control of real robots. This innovation utilizes a robotic simulator to control real-world robots by creating a simulated environment that mirrors actual conditions. The simulator determines a sequence of actions for the robots, ensuring they can perform tasks effectively. This method enhances the reliability and adaptability of robotic systems in dynamic environments.

Career Highlights

Brent Austin is currently employed at Google Inc., where he continues to push the boundaries of robotic technology. His work at such a prestigious company underscores his expertise and the impact of his innovations in the tech industry.

Collaborations

Brent collaborates with talented individuals such as Matthew Bennice and Yunfei Bai, contributing to a dynamic team focused on advancing robotic technologies.

Conclusion

Brent Austin's contributions to robotic control systems exemplify the innovative spirit of modern inventors. His patents reflect a commitment to enhancing the capabilities of robots through advanced learning and simulation techniques.

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