公开(公告)号：US20200250493A1

公开(公告)日：2020-08-06

申请号：US16749658

申请日：2020-01-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Riley SIMMONS-EDLER ,  Ben EISNER ,  Eric MITCHELL ,  Daniel Dongyuel LEE ,  Sebastian SEUNG

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06N5/04

Abstract: An apparatus for performing continuous actions includes a memory storing instructions, and a processor configured to execute the instructions to obtain a first action of an agent, based on a current state of the agent, using a cross-entropy guided policy (CGP) neural network, and control to perform the obtained first action. The CGP neural network is trained using a cross-entropy method (CEM) policy neural network for obtaining a second action of the agent based on an input state of the agent, and the CEM policy neural network is trained using a CEM and trained separately from the training of the CGP neural network.

公开(公告)号：US20210283785A1

公开(公告)日：2021-09-16

申请号：US16926289

申请日：2020-07-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Yuan CHEN ,  Colin PREPSCIUS ,  Dae Won LEE ,  Ibrahim Volkan ISLER ,  Daniel Dongyuel LEE

IPC: B25J13/08 ,  B25J9/16 ,  B25J15/08

Abstract: A tool control system may include: a tactile sensor configured to, when a tool holds a target object and slides the target object downward across the tool, obtain tactile sensing data from the tool; one or more memories configured to store a target velocity and computer-readable instructions; and one or more processors configured execute the computer-readable instructions to: receive the tactile sensing data from the tactile sensor; estimate a velocity of the target object based on the tactile sensing data, by using one or more neural networks that are trained based on a training image of an sample object captured while the sample object is sliding down; and generate a control parameter of the tool based on the estimated velocity and the target velocity.

公开(公告)号：US20210312189A1

公开(公告)日：2021-10-07

申请号：US17129018

申请日：2020-12-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Anthony Robert BISULCO ,  Fernando CLADERA OJEDA ,  Ibrahim Volkan ISLER ,  Daniel Dongyuel LEE

IPC: G06K9/00 ,  G06T9/00 ,  H04N7/18 ,  G06K9/62 ,  H04L12/26

Abstract: A detection system includes a filter and a detector. The filter receives input packets from one or more dynamic vision sensors (DVSs) deployed in an area. The filter reduces the bandwidth of the input packets to produce compressed data packets while maintaining good end-to-end detection capability. The compressed data packets are transmitted to a detector in a low bandwidth transmission. The detector may collect compressed data packets from many filters. The detector determines if an object of interest is represented in the information of the input packets. If an object of interest is present, the detector activates an alarm, sends a notification to a person associated with the area and/or stores an indication in a database.

公开(公告)号：US20230305144A1

公开(公告)日：2023-09-28

申请号：US18127473

申请日：2023-03-28

Applicant: SAMSUNG ELECTRONICS CO.,LTD.

Inventor： Dongseop LEE ,  Hyungjun CHOI ,  Daniel Dongyuel LEE ,  Dojun YANG

IPC: G01S15/52

CPC classification number: G01S15/523

Abstract: An electronic device includes a speaker configured to output an inaudible acoustic signal, one or more microphones configured to receive a first reflected wave signal, a memory storing one or more instructions, and one or more processors configured to execute the one or more instructions to obtain a signal change amount based on a correlation between a reference signal corresponding to the inaudible acoustic signal and the received first reflected wave signal, based on the signal change amount exceeding a first threshold value corresponding to a movement of an object, obtain object location information corresponding to a location of the object in a spatial structure based on the signal change amount, and based on the signal change amount exceeding a second threshold value corresponding to a change in the spatial structure, update a final parameter set corresponding to the inaudible acoustic signal by using a waveform optimization model.

公开(公告)号：US20220274269A1

公开(公告)日：2022-09-01

申请号：US17406842

申请日：2021-08-19

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Xiaoran FAN ,  Riley William SIMMONS-EDLER ,  Daewon LEE ,  Lawrence JACKEL ,  Daniel Dongyuel LEE ,  Richard HOWARD

IPC: B25J19/02 ,  B25J9/16 ,  G06N3/04 ,  B25J13/08

Abstract: An apparatus for collision avoidance by surface proximity detection includes a plurality of piezoelectric elements disposed adjacent to a surface of an object, a memory storing instructions, and at least one processor configured to execute the instructions to control a first one among the piezoelectric elements to generate an acoustic wave along the surface of the object, and receive, via a second one among the piezoelectric elements, an acoustic wave signal corresponding to the generated acoustic wave. The at least one processor is further configured to execute the instructions to filter the received acoustic wave signal, using a band-pass filter for reducing noise of the received acoustic wave signal, obtain a proximity signal for proximity detection, from the filtered acoustic wave signal, using a linear time-invariant filter, and detect whether an obstacle is proximate to the surface of the object by inputting the obtained proximity signal into a neural network.

公开(公告)号：US20210293918A1

公开(公告)日：2021-09-23

申请号：US17084257

申请日：2020-10-29

Applicant: Samsung Electronics Co., Ltd.

Inventor： Xiaoran FAN ,  Yuan CHEN ,  Dae Won LEE ,  Colin PREPSCIUS ,  Ibrahim Volkan ISLER ,  Lawrence David JACKEL ,  Hyunjune Sebastian SEUNG ,  Daniel Dongyuel LEE

IPC: G01S5/22 ,  B25J19/02

Abstract: A method of collision localization on a robotic device includes obtaining audio signals from a plurality of acoustic sensors spaced apart along the robotic device; identifying, based on a collision being detected, a strongest audio signal; identifying a primary onset time for an acoustic sensor producing the strongest audio signal, the primary onset time being a time at which waves propagating from the collision reach the acoustic sensor producing the strongest audio signal; generating a virtual onset time set, by shifting a calibration manifold, based on the identified primary onset time, the calibration manifold representing relative onset times from evenly spaced marker locations on the robotic device to the plurality of acoustic sensors; determining scores for the marker locations based a standard deviation of elements in the virtual onset time set; and estimating a location of the collision based on a highest score of the determined scores.