公开(公告)号：US20240393788A1

公开(公告)日：2024-11-28

申请号：US18794703

申请日：2024-08-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Soonhyuk HONG ,  Shivam Garg ,  Eunseo Kim

IPC: G05D1/00 ,  A47L9/28 ,  A47L11/40 ,  G01S15/931 ,  G01S17/931

Abstract: A method for performing a task of a cleaning robot includes generating a navigation map for driving the cleaning robot using a result of at least one sensor detecting a task area in which an object is arranged, obtaining recognition information of the object by applying an image of the object captured by at least one camera to a trained artificial intelligence model, generating a semantic map indicating environment of the task area by mapping an area of the object included in the navigation map with the recognition information of the object, and performing a task of the cleaning robot based on a control command of a user using the semantic map.

公开(公告)号：US12140954B2

公开(公告)日：2024-11-12

申请号：US16577039

申请日：2019-09-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Soonhyuk Hong ,  Shivam Garg ,  Eunseo Kim

IPC: G05D1/00 ,  A47L9/28 ,  A47L11/40 ,  G01S15/931 ,  G01S17/931

Abstract: A method for performing a task of a cleaning robot is provided. The method according to an embodiment includes generating a navigation map for driving the cleaning robot using a result of at least one sensor detecting a task area in which an object is arranged, obtaining recognition information of the object by applying an image of the object captured by at least one camera to a trained artificial intelligence model, generating a semantic map indicating environment of the task area by mapping an area of the object included in the navigation map with the recognition information of the object, and performing a task of the cleaning robot based on a control command of a user using the semantic map. An example of the trained artificial intelligence model may be a deep-learning neural network model in which a plurality of network nodes having weighted values are disposed in different layers and exchange data according to a convolution relationship, but the disclosure is not limited thereto.

公开(公告)号：US20200097012A1

公开(公告)日：2020-03-26

申请号：US16577039

申请日：2019-09-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Soonhyuk Hong ,  Shivam Garg ,  Eunseo Kim

IPC: G05D1/02 ,  G01S15/93 ,  G01S17/93 ,  A47L11/40 ,  A47L9/28

Abstract: A method for performing a task of a cleaning robot is provided. The method according to an embodiment includes generating a navigation map for driving the cleaning robot using a result of at least one sensor detecting a task area in which an object is arranged, obtaining recognition information of the object by applying an image of the object captured by at least one camera to a trained artificial intelligence model, generating a semantic map indicating environment of the task area by mapping an area of the object included in the navigation map with the recognition information of the object, and performing a task of the cleaning robot based on a control command of a user using the semantic map. An example of the trained artificial intelligence model may be a deep-learning neural network model in which a plurality of network nodes having weighted values are disposed in different layers and exchange data according to a convolution relationship, but the disclosure is not limited thereto.