Kubota had 67 patents in future of work during Q1 2024. Kubota Corp filed patents for an automatic travel system with boundary line detection, a transport system with sensor-based loading/unloading determination, an agricultural work assistance system with automatic steering routes, a cultivated land work vehicle with replenishment travel modes, and a working machine localization system based on marker data for work tasks. GlobalData’s report on Kubota gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Kubota grant share with future of work as a theme is 67% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Automatic travel system and automatic travel method (Patent ID: US20240099176A1)

The automatic travel system described in the patent filed by Kubota Corp involves setting a prohibition boundary line and a virtual turning circle for a vehicle to transition from one travel route to another. The system includes controllers to manage tangent following travel and entry turning travel, as well as detectors and controllers to avoid interference with the prohibition boundary line. The system is designed to facilitate safe and efficient travel for vehicles, particularly work vehicles operating in a designated work field.

Additionally, the patent includes specific claims related to the configuration and programming of the interference avoidance travel controller, setting interference avoidance routes, and the automatic travel control handover process. The system also allows for leaving turning travel at a preset steering angle and incorporates various features to enhance the vehicle's ability to navigate different terrains and obstacles. Overall, the automatic travel system and method outlined in the patent aim to improve the functionality and safety of vehicle travel, particularly in work environments where precise movement is essential.

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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.