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公开(公告)号:US20250060757A1
公开(公告)日:2025-02-20
申请号:US18935322
申请日:2024-11-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Changho HA , Shin KIM , Sangsik YOON , Donghun LEE , Jaeyoung JUNG , Jaeyoon JEONG
IPC: G05D1/622 , G05D1/246 , G05D111/10 , G06T7/521
Abstract: A robot includes a 2D camera, a 1D distance sensor, a driving module configured to move the robot, and at least one processor. The at least one processor is configured to: obtain a 2D image by controlling the 2D camera; calculate relative depths of actual regions indicated by pixels in the 2D image, based on the obtained 2D image; obtain a reference distance to a point to which a laser output from the 1D distance sensor is irradiated; determine a distance from the robot to the object in the 2D image based on the obtained reference distance and a relative depth of a reference point corresponding to the point to which the laser is irradiated among the pixels in the 2D image; and travel based on the determined distance to the object.
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公开(公告)号:US20240069208A1
公开(公告)日:2024-02-29
申请号:US18211892
申请日:2023-06-20
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jeayun SO , Jaeyoon JEONG , Sangsik YOON
IPC: G01S17/931 , G01S17/89 , G05D1/02
CPC classification number: G01S17/931 , G01S17/89 , G05D1/0219 , G05D1/0225 , G05D2201/0203 , G05D2201/0215
Abstract: Provided are a robot driven by controlling a time of flight (TOF) light detection and ranging (LiDAR) sensor, and a driving method thereof. The robot outputs laser pulse signals of the TOF LiDAR sensor by switching a laser pulse signal of a short-range pulse energy and a laser pulse signal of a remote pulse energy, while the TOF LiDAR sensor rotates, corrects information about a distance between the robot and peripheral objects of the robot, based on reflection signals of the laser pulse signals, the reflection signals being received from the peripheral objects of the robot, and controls the driving module to move the robot based on the corrected information about the distance.
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公开(公告)号:US20240320111A1
公开(公告)日:2024-09-26
申请号:US18524980
申请日:2023-11-30
Inventor: Uiseok SONG , Seoung Bum KIM , Jaehoon KIM , Jungin KIM , Byungwoo BANG , Jungmin LEE , Junyeon LEE , Jiyoon LEE , Jaeyoon JEONG
IPC: G06F11/22
CPC classification number: G06F11/2257
Abstract: A method and device for predicting errors in a computing system are disclosed. The error prediction method includes: receiving log data generated by the computing system during operation of the computing system; tokenizing the log data into tokens; inputting the tokens to a discriminator model which generates scores of the respective tokens, each score corresponding to a probability that the corresponding token is an anomaly token; determining an anomaly score based on the scores; and determining a likelihood of future occurrence of an error in the computing system based on the anomaly score.
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公开(公告)号:US20230158682A1
公开(公告)日:2023-05-25
申请号:US17835269
申请日:2022-06-08
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jaeyoon JEONG , Donghun LEE , Jinhee KIM , Minwoo RYU
CPC classification number: B25J11/0085 , B25J13/086 , G01S17/89 , G01S7/4816 , G01S7/51 , B25J19/021 , A47L9/2857 , A47L9/2805 , A47L2201/04
Abstract: A cleaning robot is provided. The cleaning robot includes a body, a light detection and ranging (LiDAR) module having a LiDAR sensor rotatably supported by the body, a light-emitting display module mounted on the LiDAR module, wherein the light-emitting display module is configured to display an image based on an afterimage effect according to a rotation of the LiDAR module.
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公开(公告)号:US20230277024A1
公开(公告)日:2023-09-07
申请号:US18316713
申请日:2023-05-12
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jaeyoon JEONG , Hyoungjin LEE , Dohyeong HWANG , Minwoo RYU , Sangsik YOON , Donghun LEE
CPC classification number: A47L9/2805 , A47L9/2852 , A47L9/2894 , G05D1/024 , G05D1/0246 , G05D1/0255 , G05D1/12 , B25J5/007 , B25J11/0085 , B25J9/1697 , B25J13/003 , A47L2201/04 , G05D2201/0203
Abstract: A controlling method of a cleaning robot is provided. The controlling method includes obtaining lidar data while a lidar sensor rotates multiple times, calculating a reference value which is the average value of distances from a subject according to angles, based on the obtained lidar data, after the reference value is calculated, comparing the obtained lidar data with the reference value, sensing a motion of an object based on a comparison result, and determining that the object is located in a rotation section where the motion has been detected.
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