Hyundai Mobis had nine patents in robotics during Q2 2024. Hyundai Mobis Co Ltd filed a patent for a processor-implemented method that involves classifying aisles in a structure with workstations into single-sided and double-sided docking aisles. The method includes determining positions of logistics robots, counting moving and waiting robots in each aisle section, performing traffic control for entering and exiting robots, and generating missions based on the traffic control results. GlobalData’s report on Hyundai Mobis gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Hyundai Mobis had no grants in robotics as a theme in Q2 2024.
Recent Patents
Application: Logistics robot fleet management apparatus and fleet management method therefor (Patent ID: US20240134382A1)
The patent filed by Hyundai Mobis Co Ltd describes a processor-implemented method for managing logistics robots within a structure containing workstations and aisles. The method involves classifying aisles into single-sided and double-sided docking aisles, determining robot positions, counting moving and waiting robots, performing traffic control, and generating missions based on the traffic control results. The system aims to efficiently control robot movements and docking operations within the structure.
The method includes dividing aisles into sections, receiving robot positions and states, counting robots in each section, and controlling robot traffic based on predefined values. The traffic control involves stopping or allowing robot movements based on the number of robots in specific sections. Additionally, the method includes controlling docking operations based on robot requests and predefined values. The system ensures smooth robot operations, optimizing traffic flow and docking processes within the structure.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
