This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Avidbots Corp. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Ravi Baboolal: Inventor of an Adaptive Semi-Autonomous Cleaning System.
Introduction
Ravi Baboolal is an inventor based in Kitchener, Canada. His work includes a patented system designed to help semi-autonomous floor-cleaning equipment adapt its operation to different surfaces and cleaning conditions.
Latest Patents
Baboolal is associated with 1 patent: “System and Method of a Semi-Autonomous Cleaning Apparatus with Adjustable Cleaning Parameters.” The invention uses control systems and sensors to adjust cleaning parameters for the floor type and application. Front or rear sensing modules can identify different surfaces and help set parameters before a cleaning or polishing plan begins, including for regular floors and VCT finishes. A camera sensor can also assess floor shininess by measuring the reflection of a light source, such as an LED strip. Machine-learning algorithms may support floor-cleaning and polishing operations.
Career Highlights
Baboolal has been associated with Avidbots Corp. His patent reflects an approach to floor care that combines sensing, adjustable controls, and machine learning to tailor cleaning performance to operating conditions.
Collaborations
His listed coworkers include Pablo Roberto Molina Cabrera and Duncan Chapman Mclennan. The provided information also names Molina Cabrera, Pablo Roberto, among his professional associations.
Conclusion
Ravi Baboolal’s patented cleaning system focuses on adapting semi-autonomous floor-care equipment to surface types and conditions, bringing sensing and adjustable cleaning parameters together in one invention.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile