Yoohee Choi

Title: Yoohee Choi: Inventor of a Semantic Segmentation System for Cleaning Devices.

Introduction

Yoohee Choi is an inventor based in Waterloo, Canada. His work includes a patent for using machine learning and visual data to help autonomous and semi-autonomous cleaning devices identify and avoid obstacles.

Latest Patents

Choi is named on 1 patent: “System and Method of Semantic Segmentation for a Cleaning Device.” The invention uses an algorithm, such as a deep neural network, to distinguish ground from non-ground areas in visual data. The device’s path-planning system can then avoid non-ground spaces, including low obstacles such as cardboard boxes, low pallets, and forklift tines. This approach adds a layer of obstacle avoidance to a cleaning device’s perception and safety protocols.

Career Highlights

Choi has been associated with Avidbots Corp. and Molina Cabrera, Pablo Roberto. His patent reflects work on applying machine learning and computer vision to autonomous cleaning technology.

Collaborations

Choi’s listed coworkers include Abhishank Gaba and Egor Bredikhin.

Conclusion

Yoohee Choi’s patented system applies semantic segmentation to help cleaning devices recognize and avoid obstacles, supporting safer autonomous operation.