Egor Bredikhin

Title: Egor Bredikhin: Advancing Safety in Autonomous Cleaning

Introduction

Egor Bredikhin is an inventor based in Kitchener, Canada, whose work focuses on improving perception and obstacle avoidance for autonomous and semi-autonomous cleaning devices. His patent describes using machine learning and visual data to help a cleaning device distinguish floor areas from obstacles.

Latest Patents

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

Career Highlights

Bredikhin works at Avidbots Corp., a company developing autonomous cleaning technology. His patented work addresses a practical challenge in that field: helping cleaning devices recognize and navigate around obstacles that may be difficult to detect.

Collaborations

Bredikhin’s listed coworker is Ali Jahani. Their shared professional context at Avidbots connects their work to the development of autonomous cleaning systems.

Conclusion

Egor Bredikhin’s patent applies machine learning and visual perception to make autonomous cleaning devices better at identifying obstacles and planning safer routes.