Ecovacs Robotics had eight patents in robotics during Q1 2024. The patent filed by Ecovacs Robotics Co Ltd in Q1 2024 describes a robot control method where the robot determines its position after being released from hijacking, identifies a task execution area based on environmental information, and carries out tasks within that area. This allows the robot to adapt to its surroundings without needing to return to its original position, meeting user requirements effectively. GlobalData’s report on Ecovacs Robotics gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Ecovacs Robotics grant share with robotics as a theme is 12% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Robot control method, robot and storage medium (Patent ID: US20240066697A1)

The patent filed by Ecovacs Robotics Co Ltd describes a robot control method that involves determining the robot's position when it is hijacked and when it is released from being hijacked through a relocalization operation. If the positions belong to the same environmental area and the hijacked position is in a difficult area, the robot executes tasks at the released position. If the positions are in the same area but not in a difficult area, the robot returns to the hijacked position to complete the task. The method allows for flexible task execution based on the environment, meeting user requirements effectively.

Furthermore, the method includes specific steps such as adopting a sweeping mode for task execution, continuing incomplete tasks from before the hijacking, and utilizing a relocalization operation during movement to determine the released position accurately. The robot can also respond to user instructions for determining the released position. Overall, the patent focuses on enhancing the robot's ability to adapt to different environmental areas when hijacked, ensuring efficient task execution and user satisfaction.

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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.