公开(公告)号：US20240310162A1

公开(公告)日：2024-09-19

申请号：US18378447

申请日：2023-10-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Kaleem Siddiqi ,  Affan Jilani ,  Charlotte Morissette ,  Francois Hogan ,  Michael Jenkin ,  Gregory Lewis Dudek

IPC: G01B11/24 ,  G01B5/20 ,  G06T7/50

CPC classification number: G01B11/24 ,  G01B5/20 ,  G06T7/50

Abstract: A method performed by an optical tactile sensor comprising a camera, includes: measuring a plurality of relations between the optical tactile sensor and an object; detecting a contact of a membrane on the object; detecting a plurality of markers on the membrane; performing a plurality of first operations by using a tactile perception module; and performing a second operation by using a three-dimensional (3D) perception module, based on a result of the performing of the plurality of first operations.

公开(公告)号：US20230055079A1

公开(公告)日：2023-02-23

申请号：US17874925

申请日：2022-07-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di WU ,  Michael Jenkin ,  Yi Tian Xu ,  Xue Liu ,  Xi Chen ,  Gregory Lewis Dudek

IPC: H04L41/147 ,  H04L41/16 ,  H04W28/08

Abstract: A method of forecasting a future load may include: obtaining source data sets and a target data set that have been collected from a plurality of source base stations and a target base station, respectively; among a plurality of source machine learning models, selecting at least one machine learn source model that has a traffic load prediction performance higher than that of a target machine learning model through a negative transfer analysis; obtaining model weights to be applied to the target machine learning model and the selected at least one source machine learning model via an attention neural network that is jointly trained with the target machine learning model and the selected source machine learning models; obtaining a load forecasting model for the target base station by combining the target machine learning model and the selected at least one source machine learning model according to the model weights; and predicting a future communication traffic load of the target base station based on the load forecasting model.

公开(公告)号：US20230264367A1

公开(公告)日：2023-08-24

申请号：US18103825

申请日：2023-01-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Francois HOGAN ,  Jean-Francois Tremblay ,  Bobak Hamed Baghi ,  Michael Jenkin ,  Kaleem Siddiqi ,  Gregory Lewis Dudek

IPC: B25J13/08 ,  B25J19/02

CPC classification number: B25J13/084 ,  B25J19/023

Abstract: A method for identifying and manipulating objects may include obtaining, from an image sensor, image sensor data; identifying, using the image sensor data, a location of an object; controlling a robotic element, which includes the image sensor, to move towards the location of the object; determining a slippage based on contact between the image sensor and the object; and controlling a movement of the robotic element based on the determined slippage.

公开(公告)号：US20220004941A1

公开(公告)日：2022-01-06

申请号：US16953586

申请日：2020-11-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di WU ,  Yi Tian Xu ,  Xi Chen ,  Ju Wang ,  Michael Jenkin ,  Hang Li ,  Gregory Lewis Dudek ,  Xue Liu

IPC: G06Q10/04 ,  G06Q50/06 ,  G06N20/20

Abstract: A method, computer program, and computer system are provided for load forecasting. Datasets corresponding to source machine learning models and a target domain base model are identified. A set of forecasting models corresponding to the identified datasets are learned. An ensemble model is determined from the learned set of forecasting models based on gradient boosting. An available resource is allocated based on the ensemble model.

公开(公告)号：US12165020B2

公开(公告)日：2024-12-10

申请号：US17139561

申请日：2020-12-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Jikun Kang ,  Hang Li ,  Xi Chen ,  Yi Tian Xu ,  Dmitriy Rivkin ,  Taeseop Lee ,  Intaik Park ,  Michael Jenkin ,  Xue Liu ,  Gregory Lewis Dudek

IPC: G06N20/00 ,  G06F18/20 ,  G06F18/21 ,  G06N3/044 ,  G06N3/08 ,  H04W28/02 ,  H04W28/08

Abstract: Rapid and data-efficient training of an artificial intelligence (AI) algorithm are disclosed. Ground truth data are not available and a policy must be learned based on limited interactions with a system. A policy bank is used to explore different policies on a target system with shallow probing. A target policy is chosen by comparing a good policy from the shallow probing with a base target policy which has evolved over other learning experiences. The target policy then interacts with the target system and a replay buffer is built up. The base target policy is then updated using gradients found with respect to the transition experience stored in the replay buffer. The base target policy is quickly learned and is robust for application to new, unseen, systems.

公开(公告)号：US11847591B2

公开(公告)日：2023-12-19

申请号：US16953586

申请日：2020-11-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Yi Tian Xu ,  Xi Chen ,  Ju Wang ,  Michael Jenkin ,  Hang Li ,  Gregory Lewis Dudek ,  Xue Liu

IPC: G06Q10/04 ,  G06N20/20 ,  G06Q50/06

CPC classification number: G06Q10/04 ,  G06N20/20 ,  G06Q50/06

Abstract: A method, computer program, and computer system are provided for load forecasting. Datasets corresponding to source machine learning models and a target domain base model are identified. A set of forecasting models corresponding to the identified datasets are learned. An ensemble model is determined from the learned set of forecasting models based on gradient boosting. An available resource is allocated based on the ensemble model.

公开(公告)号：US11656759B2

公开(公告)日：2023-05-23

申请号：US17139642

申请日：2020-12-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Francois Hogan ,  Michael Jenkin ,  Gregory Lewis Dudek ,  Yogesh Girdhar ,  Sahand Rezaei-Shoshtari ,  David Meger

IPC: G06F3/04883 ,  G06N20/20 ,  G06F3/041

CPC classification number: G06F3/04883 ,  G06F3/04164 ,  G06N20/20

Abstract: A method of sensing an interaction with an object using a semitransparent tactile surface (STS) sensor having an image sensor and a semitransparent membrane includes capturing, by the image sensor, a stream of images; separating the stream of images into a visual stream including light traveling through the semitransparent membrane and a tactile stream including light reflecting off of the semitransparent membrane; and processing the visual stream and tactile stream through a multimodal deep neural network.

公开(公告)号：US11825371B2

公开(公告)日：2023-11-21

申请号：US17334018

申请日：2021-05-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Jikun Kang ,  Yi Tian Xu ,  Jimmy Li ,  Michael Jenkin ,  Xue Liu ,  Xi Chen ,  Gregory Lewis Dudek ,  Intaik Park ,  Taeseop Lee

IPC: H04W36/22 ,  H04W36/08 ,  G06N3/08 ,  G06N20/00 ,  H04W48/06 ,  G06N3/045

CPC classification number: H04W36/22 ,  G06N3/045 ,  G06N3/08 ,  G06N20/00 ,  H04W36/08 ,  H04W48/06

Abstract: An apparatus distributing communication load over a plurality of communication cells may select action centers from random cell reselection values, based on a standard deviation of an internet protocol (IP) throughout over the plurality of communication cells; input a first vector indicating a communication state of a communication system and a second vector indicating the standard deviation of the IP throughout of the plurality of communication cells, to a neural network to output a sum of the action centers and offsets as cell reselection parameters; and transmit the cell reselection parameters to the communication system to enable a base station of the communication system to perform a cell reselection based on the cell reselection parameters.

公开(公告)号：US20230084465A1

公开(公告)日：2023-03-16

申请号：US17903646

申请日：2022-09-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Amal Feriani ,  Yi Tian Xu ,  Seowoo Jang ,  Michael Jenkin ,  Xue Liu ,  Gregory Lewis Dudek ,  Jimmy Li

IPC: H04L41/16 ,  H04W24/10 ,  G06N5/02 ,  G06K9/62

Abstract: Parameters for load balancing in a cellular communication system are determined. The cellular communication system performance is measured by key performance indicators (KPIs). A policy (artificial intelligence model) is obtained to optimize the cellular communication system performance with respect to the KPIs. The policy for determining parameters used for load balancing the cellular communication system is obtained using meta multi-objective reinforcement learning (meta MORL). A distilled policy may be obtained to initialize the meta MORL determination. Various loss functions may be used to obtain the distilled policy.

公开(公告)号：US20210389872A1

公开(公告)日：2021-12-16

申请号：US17139642

申请日：2020-12-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Francois Hogan ,  Michael Jenkin ,  Gregory Lewis Dudek ,  Yogesh Girdhar ,  Sahand Rezaei-Shoshtari ,  David Meger

IPC: G06F3/0488 ,  G06F3/041 ,  G06N20/20

Abstract: A method of sensing an interaction with an object using a semitransparent tactile surface (STS) sensor having an image sensor and a semitransparent membrane includes capturing, by the image sensor, a stream of images; separating the stream of images into a visual stream including light traveling through the semitransparent membrane and a tactile stream including light reflecting off of the semitransparent membrane; and processing the visual stream and tactile stream through a multimodal deep neural network.