Sunnyvale, CA, United States of America

Xiaowen Mao


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations of Xiaowen Mao in Autonomous Mobile Devices

Introduction

Xiaowen Mao is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of robotics, particularly in the area of autonomous mobile devices. His innovative work focuses on enhancing the interaction between robots and users, making technology more intuitive and user-friendly.

Latest Patents

Xiaowen Mao holds a patent for a "System for dynamic positioning of an autonomous mobile device with respect to a user." This invention allows a robot to navigate its environment while interacting with a user. The system utilizes a waypoint to determine the robot's movement relative to the user, employing a proxemic cost map to plan the optimal path. The proxemic cost map helps the robot avoid high-cost areas, such as directly behind the user, while favoring low-cost areas in front of the user. This innovative approach enhances the robot's ability to operate effectively in various environments.

Career Highlights

Xiaowen Mao is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge technologies in robotics. His work has positioned him as a key player in the advancement of autonomous systems, contributing to the growing field of intelligent robotics.

Collaborations

Xiaowen has collaborated with notable colleagues, including Amin Hani Atrash and Saurabh Gupta. These partnerships have fostered a creative environment that encourages innovation and the development of groundbreaking technologies.

Conclusion

Xiaowen Mao's contributions to the field of robotics, particularly through his patent on dynamic positioning systems, highlight his role as a leading inventor in the industry. His work not only enhances the functionality of autonomous mobile devices but also paves the way for future innovations in human-robot interaction.

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