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公开(公告)号：US11871156B2
公开(公告)日：2024-01-09
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: H04N19/00 , H04N19/169 , H04N19/14 , G06V20/40 , H04N7/18 , G06T9/00 , H04L43/04 , H04L43/028 , G06V20/52 , G06V40/20 , G06F18/21 , G06V10/10 , G06V10/764 , G06V10/147 , H04N25/47
CPC classification number: H04N7/188 , G06F18/2193 , G06T9/002 , G06V10/10 , G06V10/147 , G06V10/764 , G06V20/44 , G06V20/52 , G06V40/25 , H04L43/028 , H04L43/04 , H04N7/181 , H04N19/00 , H04N19/14 , H04N19/188 , H04N25/47
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.
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公开(公告)号：US11642787B2
公开(公告)日：2023-05-09
申请号：US17117718
申请日：2020-12-10
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jinwook Huh , Galen Kailun Xing , Ziyun Wang , Ibrahim Volkan Isler , Daniel Dongyuel Lee
CPC classification number: B25J9/1666 , B25J9/161 , B25J9/163 , G01C21/3446 , G05D1/0221 , G05D1/0251 , G05B2219/33028 , G05B2219/40455 , G05B2219/40506
Abstract: A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.
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公开(公告)号：US20220138466A1
公开(公告)日：2022-05-05
申请号：US17328518
申请日：2021-05-24
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Anthony Robert BISULCO , Fernando Cladera Ojeda , Ibrahim Volkan Isler , Daniel Dongyuel Lee
Abstract: An apparatus for motion understanding, includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain, from a dynamic vision sensor, a plurality of events corresponding to an object moving with respect to the dynamic vision sensor, and filter the obtained plurality of events, using a plurality of exponential filters integrating over different time periods, to obtain a plurality of representations of the object moving with respect to the dynamic vision sensor. The at least one processor is further configured to execute the instructions to filter the obtained plurality of representations, using a convolution neural network, to obtain a probability of the object impacting a location on the dynamic vision sensor.
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公开(公告)号：US12162136B2
公开(公告)日：2024-12-10
申请号：US17553321
申请日：2021-12-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Xiaoran Fan , Daewon Lee , Lawrence Jackel , Richard Howard , Daniel Dongyuel Lee , Ibrahim Volkan Isler
Abstract: A tactile sensing system of a robot may include: a plurality of piezoelectric elements disposed at an object, and including a transmission (TX) piezoelectric element and a reception (RX) piezoelectric element; and at least one processor configured to: control the TX piezoelectric element to generate an acoustic wave having a chirp spread spectrum (CSS) at every preset time interval, along a surface of the object; receive, via the RX piezoelectric element, an acoustic wave signal corresponding to the generated acoustic wave; select frequency bands from a plurality of frequency bands of the acoustic wave signal; and estimate a location of a touch input on the surface of the object by inputting the acoustic wave signal of the selected frequency bands into a neural network configured to provide a touch prediction score for each of a plurality of predetermined locations on the surface of the object.
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15.发明公开公开(公告)号：US20240100705A1
公开(公告)日：2024-03-28
申请号：US18239437
申请日：2023-08-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Siddharth RUPAVATHARAM , Richard Howard , Daewon Lee , Lawrence Jackel , Caleb Sebastian Escobedo , Ibrahim Volkan Isler
CPC classification number: B25J9/1694 , B25J15/08 , G01B17/00
Abstract: In some embodiments, an apparatus for performing reactive positioning of a robot gripper includes one or more fingers disposed on an end-effector of the robot, a signal processing circuit, a memory storing instructions, and a processor. Each of the one or more fingers includes a transducer configured to generate vibrational energy based on an input signal, and convert an acoustic reflection of the vibrational energy from an object into a voltage signal. The signal processing circuit is configured to provide the input signal to each transducer, and perform signal processing on the voltage signal of each transducer resulting in reflection data. The processor is configured to execute the instructions to perform pre-touch proximity detection on the reflection data, perform grasp positioning on the reflection data, perform contact detection from the reflection data, and provide, to the robot, results of the pre-touch proximity detection, the grasp positioning, and the contact detection.
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Patent Agency Ranking
公开(公告)号：US11714163B2
公开(公告)日：2023-08-01
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
CPC classification number: G01S5/22 , B25J19/026
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.
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公开(公告)号：US11694304B2
公开(公告)日：2023-07-04
申请号：US17105028
申请日：2020-11-25
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Daniel Robert Kepple , Dae Won Lee , Ibrahim Volkan Isler , Kanaka Rajan , Il Memming Park , Daniel Dongyuel Lee
CPC classification number: G06T3/4046 , G06N3/045 , G06T7/246 , G06T7/97
Abstract: A method may include obtaining a set of events, of a set of pixels of a dynamic vision sensor, associated with an object; determining a set of voltages of the set of pixels, based on the set of events; generating a set of images, based on the set of voltages of the set of pixels; inputting the set of images into a first neural network configured to output a visual motion estimation of the object; inputting the set of images into a second neural network configured to output a confidence score of the visual motion estimation output by the first neural network; obtaining the visual motion estimation of the object and the confidence score of the visual motion estimation of the object, based on inputting the set of images into the first neural network and the second neural network; and providing the visual motion estimation of the object and the confidence score.
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公开(公告)号：US20220277519A1
公开(公告)日：2022-09-01
申请号：US17473541
申请日：2021-09-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Nikhil Narsingh CHAVAN DAFLE , Sergiy Popovych , Ibrahim Volkan Isler , Daniel Dongyuel Lee
Abstract: A depth image is used to obtain a three dimensional (3D) geometry of an object as an object mesh. The object mesh is obtained using an object shell representation. The object shell representation is based on a series of depth images denoting the entry and exit points on the object surface that camera rays would pass through. Given a set of entry points in the form of a masked depth image of an object, an object shell (an entry image and an exit image) is generated. Since entry and exit images contain neighborhood information given by pixel adjacency, the entry and exit images provide partial meshes of the object which are stitched together in linear time using the contours of the entry and exit images. A complete object mesh is provided in the camera coordinate frame.
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公开(公告)号：US20210390776A1
公开(公告)日：2021-12-16
申请号：US17177896
申请日：2021-02-17
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Ziyun Wang , Eric Anthony Mitchell , Ibrahim Volkan Isler , Daniel Dongyuel Lee
Abstract: An apparatus for reconstructing a 3D object, includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain, using a first neural network, mapping function weights of a mapping function of a second neural network, based on an image feature vector corresponding to a 2D image of the 3D object, set the mapping function of the second neural network, using the obtained mapping function weights, and based on sampled points of a canonical sampling domain, obtain, using the second neural network of which the mapping function is set, 3D point coordinates and geodesic lifting coordinates of each of the sampled points in the 3D object corresponding to the 2D image, wherein the 3D point coordinates are first three dimensions of an embedding vector of a respective one of the sampled points, and the geodesic lifting coordinates are remaining dimensions of the embedding vector.
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公开(公告)号：US20250086812A1
公开(公告)日：2025-03-13
申请号：US18586111
申请日：2024-02-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Kazim Selim Engin , Jun-Jee Chao , Ibrahim Volkan Isler , Nikhil Narsingh Chavan-Dafle , Bhoram Lee
Abstract: A method of generating a composite map from image data and spatial map data may include: acquiring a spatial map of an environment; acquiring a plurality of images of a portion of the environment; generating a three-dimensional (3D) image of the portion of the environment using the plurality of images; identifying a floor in the 3D image; generating a synthetic spatial map of the portion of the environment based on the floor in the 3D image; determining a location of the portion of the environment within the spatial map by identifying a region of the spatial map that corresponds to the synthetic spatial map; and generating a composite map by associating the 3D image with the location within the spatial map of the portion of the environment.
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