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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
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.
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公开(公告)号：US11719544B2
公开(公告)日：2023-08-08
申请号：US17493930
申请日：2021-10-05
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Eunseo Kim , Yehoon Kim , Chanwon Seo , Inhak Na , Myungjin Eom
IPC: G01C21/20 , G06V20/64 , G06V20/10 , G06V10/764 , G06V10/82
CPC classification number: G01C21/206 , G06V10/764 , G06V10/82 , G06V20/10 , G06V20/64
Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.
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公开(公告)号：US12123723B2
公开(公告)日：2024-10-22
申请号：US18227345
申请日：2023-07-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Eunseo Kim , Yehoon Kim , Chanwon Seo , Inhak Na , Myungjin Eom
IPC: G01C21/20 , G06V10/764 , G06V10/82 , G06V20/10 , G06V20/64
CPC classification number: G01C21/206 , G06V10/764 , G06V10/82 , G06V20/10 , G06V20/64
Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.
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公开(公告)号：US11107459B2
公开(公告)日：2021-08-31
申请号：US16291648
申请日：2019-03-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Eunseo Kim , Jaehyun Bae
IPC: G10L15/04 , G10L15/28 , G10L15/187
Abstract: An electronic device is disclosed. The electronic device includes a memory configured to store a pronunciation dictionary including a plurality of words; and a processor configured to: obtain a second word based on a first word of the plurality of words; obtain a first text corpus related to the first word through web crawling of the first word and a second text corpus related to the second word through web crawling of the second word; and verify the second word based on a result of comparison of the first text corpus and the second text corpus.
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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.
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Patent Agency Ranking
公开(公告)号：US11151357B2
公开(公告)日：2021-10-19
申请号：US16890337
申请日：2020-06-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Eunseo Kim , Yehoon Kim , Chanwon Seo , Inhak Na , Myungjin Eom
IPC: G06K9/00
Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.
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公开(公告)号：US12175060B2
公开(公告)日：2024-12-24
申请号：US17156086
申请日：2021-01-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Chanwon Seo , Youngeun Lee , Eunseo Kim , Myungjin Eom
IPC: G06F3/04845 , G06F18/214 , G06F18/22 , G06N3/08 , G06T5/00 , G06V10/82 , G06V20/00 , G06V40/16
Abstract: An electronic device and a controlling method thereof are provided. An electronic device includes a memory configured to store at least one instruction and a processor configured to execute the at least one instruction and operate as instructed by the at least one instruction. The processor is configured to: obtain a first image; based on receiving a first user command to correct the first image, obtain a second image by correcting the first image; based on the first image and the second image, train a neural network model; and based on receiving a second user command to correct a third image, obtain a fourth image by correcting the third image using the trained neural network model.
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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.
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公开(公告)号：US12141421B2
公开(公告)日：2024-11-12
申请号：US17156086
申请日：2021-01-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Chanwon Seo , Youngeun Lee , Eunseo Kim , Myungjin Eom
IPC: G06F3/04845 , G06F18/214 , G06F18/22 , G06N3/08 , G06T5/00 , G06V10/82 , G06V20/00 , G06V40/16
Abstract: An electronic device and a controlling method thereof are provided. An electronic device includes a memory configured to store at least one instruction and a processor configured to execute the at least one instruction and operate as instructed by the at least one instruction. The processor is configured to: obtain a first image; based on receiving a first user command to correct the first image, obtain a second image by correcting the first image; based on the first image and the second image, train a neural network model; and based on receiving a second user command to correct a third image, obtain a fourth image by correcting the third image using the trained neural network model.
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公开(公告)号：US12112023B2
公开(公告)日：2024-10-08
申请号：US17156086
申请日：2021-01-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Chanwon Seo , Youngeun Lee , Eunseo Kim , Myungjin Eom
IPC: G06F3/04845 , G06F18/214 , G06F18/22 , G06N3/08 , G06T5/00 , G06V10/82 , G06V20/00 , G06V40/16
CPC classification number: G06F3/04845 , G06F18/214 , G06F18/22 , G06N3/08 , G06T5/00 , G06V10/82 , G06V20/35 , G06T2200/24 , G06T2207/20081 , G06T2207/20084 , G06V40/161
Abstract: An electronic device and a controlling method thereof are provided. An electronic device includes a memory configured to store at least one instruction and a processor configured to execute the at least one instruction and operate as instructed by the at least one instruction. The processor is configured to: obtain a first image; based on receiving a first user command to correct the first image, obtain a second image by correcting the first image; based on the first image and the second image, train a neural network model; and based on receiving a second user command to correct a third image, obtain a fourth image by correcting the third image using the trained neural network model.
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