Hyundai Motor had 127 patents in robotics during Q4 2023. Hyundai Motor Co filed patents for methods and apparatus related to robot navigation, camera calibration, online authoring of robot autonomy applications, and automated inspection of assets using a mobile robot. These patents involve navigating robots through environments, calibrating cameras, controlling robot navigation based on topological maps, authoring autonomy applications, and performing automated inspections using computer vision models. GlobalData’s report on Hyundai Motor gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Hyundai Motor grant share with robotics as a theme is 31% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Ground clutter avoidance for a mobile robot (Patent ID: US20230418297A1)
The patent filed by Hyundai Motor Co. describes methods and apparatus for navigating a robot along a route through an environment associated with a mission. The method involves identifying potential obstacles in the environment based on sensor data, determining obstacles based on stored footfall locations of the robot during a previous mission execution, and navigating the robot to avoid stepping on the obstacles. The system utilizes sensor data such as image data or point cloud data to generate terrain maps and segmented maps for obstacle identification. The robot is guided to avoid obstacles by analyzing footfall locations and detecting large obstacles in the environment, with a focus on obstacles below 30 cm in height.
The legged robot described in the patent includes a perception system with sensors, a computer processor for obstacle identification based on sensor data and footfall locations, and a navigation system to avoid obstacles. The processor processes sensor data to create terrain and segmented maps, enabling obstacle detection based on boundaries and surfaces. The robot is programmed to navigate around obstacles by analyzing upcoming footfall locations and identifying large obstacles in the environment. The system aims to prevent the robot from stepping on obstacles by utilizing stored data from previous mission executions and real-time sensor data for efficient navigation.
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