公开(公告)号：WO2020141924A1

公开(公告)日：2020-07-09

申请号：PCT/KR2020/000095

申请日：2020-01-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： LEE, Junghwan ,  KIM, Daehun ,  HONG, Hyunseok ,  KUK, Junggap

IPC: G01C21/12 ,  G01C21/20 ,  G05D1/02 ,  G01C11/30 ,  A47L11/40

Abstract: Provided are an artificial intelligence (AI) system using a machine learning algorithm like deep learning, or the like, and an application thereof. A robotic cleaning apparatus that generates map data includes a communication interface comprising communication circuitry, a memory configured to store one or more instructions, and a processor configured to control the robotic cleaning apparatus by executing the one or more instructions. The processor is configured, by executing the one or more instructions, to control the robotic cleaning apparatus to: generate basic map data related to a cleaning space, and generate object information regarding at least one object in the cleaning space, the object information being generated based on information obtained by the robotic cleaning apparatus regarding the object in a plurality of different positions of the cleaning space, and including information about a type and a position of the object.

公开(公告)号：WO2020122590A1

公开(公告)日：2020-06-18

申请号：PCT/KR2019/017474

申请日：2019-12-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： LEE, Junghwan ,  KIM, Daehun ,  HONG, Hyunseok

IPC: B25J9/16 ,  B25J13/08

Abstract: Provided are a method and robot device for sharing object data. The method, performed by a robot device, of sharing object data includes: obtaining sensing data related to objects in a certain space; classifying the obtained sensing data into a plurality of pieces of object data based on properties of the objects; selecting another robot device from among at least one other robot device; selecting object data to be provided to the selected robot device from among the classified plurality of pieces of object data; and transmitting the selected object data to the selected robot device, wherein the classifying of the sensing data into a plurality of pieces object data includes generating a plurality of data layers including the classified plurality of pieces of object data.