公开(公告)号：US20230185306A1

公开(公告)日：2023-06-15

申请号：US17926132

申请日：2021-04-12

Applicant: ECOVACS ROBOTICS CO., LTD

Inventor： Jiaxin JIANG ,  Junjie SHAN ,  Kaili XU

IPC: G05D1/02 ,  G05D1/00 ,  A47L11/40 ,  A47L11/24

CPC classification number: G05D1/0219 ,  G05D1/0088 ,  A47L11/4011 ,  A47L11/4061 ,  G05D1/0231 ,  A47L11/24 ,  G05D2201/0203

Abstract: The present disclosure discloses a method and system for controlling an autonomous mobile robot, and the autonomous mobile robot. The method includes: when cleaning in a current region, recognizing, by the autonomous mobile robot, information of a line object appearing in a cleaning path, where the information at least includes one of pose information of the line object, a length of the line object, and a cross-sectional radius of the line object; and determining a target control strategy matched with the recognized information from preset control strategies, and causing the autonomous mobile robot to execute the target control strategy.

公开(公告)号：US20240197130A1

公开(公告)日：2024-06-20

申请号：US18442785

申请日：2024-02-15

Applicant: ECOVACS ROBOTICS CO., LTD.

Inventor： Kaili XU ,  Xiao LUO ,  Junjie SHAN ,  Wei CHEN ,  Yongdong WU ,  Peng ZHANG ,  Yang LIU

IPC: A47L11/24 ,  G05D1/228 ,  G05D1/246 ,  G05D101/20

CPC classification number: A47L11/24 ,  G05D1/228 ,  G05D1/2462 ,  A47L2201/00 ,  G05D2101/20

Abstract: The application provides a structured light module and an autonomous mobile device. The structured light module includes a first camera and line laser emitters for collecting a first environmental image containing laser stripes generated when the line laser encounters an object. The structured light module can also capture a visible light image through a second environmental image that does not contain laser stripes. Both the first and second environmental images can help to detect more accurate and richer environmental information, expanding the application range of laser sensors.

公开(公告)号：US20230195130A1

公开(公告)日：2023-06-22

申请号：US17925269

申请日：2021-04-13

Applicant: ECOVACS ROBOTICS CO., LTD.

Inventor： Huihui YIN ,  Junjie SHAN

IPC: G05D1/02

CPC classification number: G05D1/024 ,  G05D1/0214 ,  G05D1/0223 ,  G05D1/0274 ,  G05D2201/0203

Abstract: Disclosed are an information collection method, a device and a storage medium. An autonomous mobile device may collect environmental information by means of a structured light module, and may collect, in a supplementary manner, obstacle information within a blind area range of the structured light module by executing an omission remediation action, such that the autonomous mobile device detects richer and more accurate environmental information during a task execution process, thereby avoiding omitting information of lower obstacles. The obstacles can be avoided and an environmental map can be constructed according to the detected obstacle information, thereby providing a foundation for subsequent working task execution and obstacle avoidance.

公开(公告)号：US20200215694A1

公开(公告)日：2020-07-09

申请号：US16733164

申请日：2020-01-02

Applicant: ECOVACS ROBOTICS CO., LTD.

Inventor： Qingxiang SONG ,  Kaili XU ,  Yongkang ZHU ,  Da LIU ,  Yibin ZHANG ,  Junjie SHAN ,  Jinju TANG

IPC: B25J9/16 ,  G06K9/00 ,  B25J11/00 ,  A47L11/40 ,  A47L11/24

Abstract: Provided are dynamic region division and region passage identification methods and a cleaning robot. The dynamic region division method includes: acquiring environment information collected by a robot when working in a first region; determining whether the robot has completed a work task in the first region, when a presence of a passage entering a second region is determined based on the environment information; and complementing a boundary at the passage to block the passage, when the work task is not completed. According to the technical solution provided by the embodiment of the present application, the occurrence probability of repeated sweeping and miss sweeping is reduced, and the cleaning efficiency is high. In addition, the technical solution provided by the embodiment of the present application relies on the environment information collected during the work, rather than relying on historical map data, so that the environmental adaptability is high.