Kubota has patented a working vehicle with an autonomous traveling controller that controls the vehicle based on the scheduled route and the angle between the vehicle and any towed equipment. The controller adjusts steering during turns and performs multi-point turns when necessary for efficient navigation. 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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According to GlobalData’s company profile on Kubota, Autonomous harvesters was a key innovation area identified from patents. Kubota's grant share as of March 2024 was 36%. Grant share is based on the ratio of number of grants to total number of patents.
Autonomous control of working vehicle with towed vehicle
The granted patent (Publication Number: US11968917B2) describes a working vehicle equipped with an autonomous traveling controller that controls the vehicle's movement along a scheduled route while towing another vehicle. The controller adjusts the steering angle and direction based on the relative angle between the two vehicles to ensure smooth navigation, especially during turns. If the relative angle exceeds a certain threshold during a turn, the controller switches to a multi-point turn control to align the vehicles for continued travel along the route.
Additionally, the working vehicle includes an angle detector and a positioning device to assist the autonomous traveling controller in accurately determining the steering adjustments needed based on the relative angle and vehicle position. The controller is programmed to perform straight-traveling control after completing a turn, ensuring both vehicles are properly positioned on the straight-line portion of the scheduled route. Furthermore, the patent also covers a working machine comprising the described working vehicle, a towed vehicle, and an angle detector to monitor the relative angle between the vehicles, showcasing a comprehensive system for efficient and safe autonomous towing operations.
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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.
