Umer Rasheed

Title: Umer Rasheed: Inventor in Autonomous Cleaning Technology.

Introduction

Umer Rasheed is an inventor associated with Waterloo, Canada. His work includes a patent for semantic segmentation technology designed to help autonomous and semi-autonomous cleaning devices identify and avoid obstacles. The available information lists 1 patent in his name.

Latest Patents

Rasheed’s listed patent, “System and Method of Semantic Segmentation for a Cleaning Device,” describes using machine learning and visual data to distinguish ground surfaces from non-ground areas. A deep neural network or similar algorithm can identify spaces that a cleaning device should avoid and pass that information to its path-planning system.

The approach can also detect low-height obstacles, including cardboard boxes, low pallets, and forklift tines. By adding semantic segmentation to a cleaning device’s perception and obstacle-avoidance capabilities, the system is intended to provide an additional layer of safety.

Career Highlights

Rasheed is associated with Avidbots Corp, a company working in autonomous cleaning technology. The supplied information also lists Molina Cabrera, Pablo Roberto, among his company affiliations.

Collaborations

Rasheed’s listed coworkers include Adel Fakih and Egor Bredikhin. These professional connections provide context for his work in the autonomous cleaning technology field.

Conclusion

Umer Rasheed’s listed invention applies machine learning and visual perception to help cleaning devices recognize obstacles and plan safer routes.