iRobot had 51 patents in robotics during Q4 2023. iRobot Corp’s Q4 2023 patents focus on innovations in mobile cleaning robot technology. These include a new cleaning pad design for efficient floor cleaning, a system utilizing camera and processing circuitry for behavior modification based on visual fiducials, a method for robot localization without expensive sensors, a technique for navigating cluttered surfaces, and a system for setting cleaning modes for specific rooms using a display device. GlobalData’s report on iRobot gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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iRobot grant share with robotics as a theme is 62% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Cleaning pad assembly for mobile robot (Patent ID: US20230397785A1)
The patent filed by iRobot Corp. describes a cleaning pad for a mobile cleaning robot that includes a backing layer, a cleaning layer, and a card. The backing layer can be secured to the robot's pad tray, while the cleaning layer engages with the floor surface. The card is connected to the backing layer and can be slidably inserted into a retainer of the pad tray to align the cleaning pad with the robot. The backing layer features loop fasteners to secure it to corresponding hook fasteners on the pad tray, and the pad includes a border covering the perimeter edges of the layers.
Additionally, the cleaning pad may include an identification chip, a magnetically-attractable feature, and a boss to limit lateral movement when secured to the pad tray. The card is defined by specific dimensions, including width, length, and thickness, and includes detents and slots for engagement with the retainer. The patent also covers variations in the design of the card, such as different dimensions for the detents and slots. Overall, the patent outlines a detailed and specific design for a cleaning pad that enhances the functionality and compatibility with mobile cleaning robots.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
