Kubota had 26 patents in robotics during Q4 2023. Kubota Corp filed patents for an agricultural support system integrating unmanned aerial vehicles with agricultural machines, a communication system for transmitting information between unmanned aerial vehicles and agricultural machines, and an agricultural machine with a takeoff/landing station for unmanned aerial vehicles and a protector for the operator’s seat. GlobalData’s report on Kubota gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Kubota grant share with robotics as a theme is 30% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Agricultural support system and unmanned aerial vehicle (Patent ID: US20230322423A1)

The patent filed by Kubota Corp describes an agricultural support system that includes an unmanned aerial vehicle equipped with sensors to monitor an agricultural field and an agricultural machine. The unmanned aerial vehicle can change its flight position based on the operation of the agricultural machine, allowing for enhanced coordination and efficiency during agricultural work. Additionally, the system includes features such as warning generation when living bodies are detected, ensuring safety during operations.

The unmanned aerial vehicle in the agricultural support system is designed to work in tandem with the agricultural machine, adjusting its flight position based on the movements of the machine, such as raising or lowering a working implement. This dynamic coordination allows for optimal sensing of the agricultural field and efficient performance of tasks. Furthermore, the system includes safety measures such as warning generation in the presence of living bodies, showcasing a focus on operational safety and risk mitigation in agricultural settings.

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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.