Alarmcom had 11 patents in robotics during Q4 2023. Alarmcom Holdings Inc filed patents in Q4 2023 for methods, systems, and apparatus for estimating a robot pose using images captured at different locations on a property and generating depth data for robot navigation. Another patent involves obtaining a sample LIDAR profile from a drone, determining translation and rotation relative to a reference position, and verifying the predicted position of the drone based on similarity thresholds. GlobalData’s report on Alarmcom gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Alarmcom grant share with robotics as a theme is 54% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Robot pose estimation (Patent ID: US20230392931A1)

The patent filed by Alarm.com Holdings Inc. describes methods, systems, and apparatus for estimating a robot's pose by obtaining images captured at different locations on a property, detecting feature points within the images, comparing the positions of these feature points, obtaining location data, and generating depth data for use by a robot navigating the property. The system uses an epipolar process and a scale factor to generate depth data, with the scale factor mapping camera units to real-world units for the property. The operations also involve determining a scale factor based on the difference between locations where images were captured and the amount of overlap between images.

Additionally, the patent includes instructions stored on computer storage media that, when executed, cause computers to perform operations such as obtaining images from a robot, selecting key frames, comparing feature points, generating pose estimations, and updating the robot's pose. The process involves using an epipolar process, determining a scale factor based on key frame locations, and updating the robot's pose using the pose estimation and an expected pose. The method also includes obtaining key frames and depth data, selecting key frames based on comparisons with images, and using location data for image and key frame selection.

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