Topcon‘s patented system monitors autonomous robot stability using GNSS navigation, IMU, and a processor to calculate position and movement. It follows a programmed path within an attraction domain based on spatial coordinates, generating notifications if outside the domain. GlobalData’s report on Topcon gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Topcon, Eye-tracking wearables was a key innovation area identified from patents. Topcon's grant share as of January 2024 was 40%. Grant share is based on the ratio of number of grants to total number of patents.

Autonomous robot stability monitoring system using gnss and imu

Source: United States Patent and Trademark Office (USPTO). Credit: Topcon Corp

A recently granted patent (Publication Number: US11886200B2) discloses a system designed to monitor the stability of an autonomous robot. The system includes a Global Navigation Satellite System (GNSS) navigation receiver with various components such as an antenna, an analog front end, multiple channels, an inertial measurement unit (IMU), and a processor programmed with a path for the robot. These elements work together to generate navigation and orientation data, allowing the system to calculate the position and direction of movement of the autonomous robot. Additionally, the system calculates spatial and orientation coordinates within an attraction domain, utilizing a measure of distance from zero in a specific plane defined by certain functions.

Furthermore, the system described in the patent continues with a programmed path for the robot as long as the spatial and orientation coordinates fall within the defined attraction domain. If the measure of distance exceeds a certain threshold, the system terminates the programmed path. The attraction domain is characterized by specific functions and parameters, ensuring that the autonomous robot remains stable and on course during its operations. Overall, the system aims to enhance the stability and reliability of autonomous robots by closely monitoring their spatial coordinates and making real-time adjustments based on predefined criteria and mathematical models.

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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.