Naver had five patents in future of work during Q1 2024. The system described in the patent abstract involves a hand module that determines vectors and position of a human hand, a gripper module that determines vectors and position of a robot gripper, and an actuation module that aligns the gripper with the human hand, closes fingers based on minimizing loss, and actuates fingers to further minimize loss. GlobalData’s report on Naver gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Naver grant share with future of work as a theme is 40% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for grasping objects like humans using robot grippers (Patent ID: US20240051125A1)

The patent filed by Naver Corp. describes a robot system that includes a hand module, gripper module, and actuation module to mimic the movement of a human hand grasping an object. The system determines vectors normal and parallel to the palm of the human hand and gripper, aligns them, and minimizes losses related to object penetration, contact heatmap, and orientation. The system uses images from a camera or sensors to determine the position of the gripper and optimize grasping movements based on minimizing total loss, including self-penetration loss.

The patent also outlines a method for the robot system, involving determining polygon meshes of object, human hand, and gripper surfaces, calculating object penetration, contact heatmap, and orientation losses, and actuating robot actuators to minimize total loss. The method includes adjusting object penetration loss based on finger tip position, using camera images or sensor data to determine orientation loss, and optimizing contact heatmap loss to ensure similarity between gripper-object and human hand-object contact. Gripper self-penetration loss is also considered in the total loss calculation, emphasizing the importance of accurate and efficient grasping movements in robotic systems.

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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.