Ford Motor had 28 patents in robotics during Q1 2024. Ford Motor Co has filed patents for systems and methods involving material application, trajectory determination for vehicles, object location detection, autonomous vehicle operation, and transformation of sensor data for aerial vehicles. These inventions utilize robots, sensors, controllers, processors, and memory to improve efficiency and accuracy in various automotive processes. GlobalData’s report on Ford Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Ford Motor grant share with robotics as a theme is 35% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Method and apparatus for adaptive control and real-time edge tracking of adhesive and sealer dispensing (Patent ID: US20240082867A1)

The patent filed by Ford Motor Co. describes a system for applying material to a substrate using a combination of a robot, actuator, sensor, and controller. The robot moves the application nozzle along a predefined path above the substrate, while the actuator provides additional movement to ensure material is applied accurately. A sensor detects features on the substrate, allowing the controller to adjust the application process accordingly. The system can detect edges, grooves, and other features on the substrate to apply material precisely.

The system can utilize different types of actuators, such as one-dimensional, two-dimensional, or three-dimensional, depending on the application requirements. The sensor can be an electromagnetic radiation source or a camera, providing accurate data for the controller to make adjustments. Additionally, the system includes a speed sensor to ensure precise control over the application process based on the speed of the robot. Overall, the system allows for efficient and accurate application of material to substrates, making it suitable for various manufacturing processes.

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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.