Samsung Electronics Co., Ltd.

Atlas Global Technologies LLC

Newracom, Inc.

Daewon Lee

Daniel Dongyuel Lee

Yujin Noh

Sungho Moon

Lawrence David Jackel

Ibrahim Volkan Isler

Richard Howard

Xiaoran Fan

Young Hoon Kwon

Ahmad Reza Hedayat

Minho Cheong

Eric Anthony Mitchell

Jinwook Huh

Volkan Isler

Sebastian Seung

Bhoram Lee

Ben Eisner

Siddharth Rupavatharam

Pedro Piacenza

Riley William Simmons-edler

Caleb Sebastian Escobedo

Tarik Tosun

A method is provided. The method includes transmitting, by an access point (AP), a physical layer protocol data unit (PPDU) comprising a plurality of resource units (RUs), each comprising a number of one or more of subcarriers or tones upon which one or more modulated signals are positioned, each of the plurality of RUs sharing a common frequency and mirroring symmetrically or conjugate symmetrically, information between each of the plurality of RUs with respect to a DC tone.

Control information for multi-user transmissions in WLAN systems

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.

Sonicfinger: low-cost, compact, proximity and contact sensor for reactive positioning

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.

Method and apparatus for robot collision avoidance by full surface proximity detection

An apparatus is provided. The apparatus performs operations including selecting a high efficiency long training field (HE LTF) sequence for a frame, selecting an HE LTF transmission mode from one of a 4× HE LTF mode, a 2× HE LTF mode, and a 1× HE LTF mode, transmitting only a set of allocated subcarriers of the HE LTF sequence for the frame, and transmitting a set of additional fields of the frame using the set of allocated subcarriers and a set of unallocated subcarriers. The set of additional fields includes a legacy short training field (L-STF), a legacy long training field (L-LTF), a legacy signaling field (L-SIG), a high efficiency signaling A field (HE-SIG-A), and a high efficiency short training field (HE-STF). Transmitting of the HE LTF sequence for the frame uses only one or more of the set of allocated subcarriers, and none of the unallocated subcarriers.

Long training field sequence construction

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.

Method and apparatus for estimating touch locations and touch pressures

A method of estimating an amount of liquid poured from a container includes receiving a tactile signal detected by at least one tactile sensor of an end effector holding the container containing the liquid; receiving a joint signal including an angular position, angular velocity, and torque of a joint connected to the end effector; and estimating, based on the tactile signal and the joint signal, the amount of liquid poured from the container.

Method of estimating an amount of liquid poured from a container, and an apparatus for the same

A station is provided. The station includes one or more memories and one or more processors. The one or more processors are configured to one or more of process a first request for buffer status received from an access point and transmit, during the first uplink multi-user transmission to the access point and in response to the first request for buffer status, a first uplink null data packet and that includes a signal that indicates existence of data to be sent from the station to the access point. The first request for buffer status schedules a first uplink multi-user transmission and indicates a plurality of resources that indicates existence of data to be sent to the access point. The one or more processors transmits the first uplink null data packet includes the one or more processors configured to transmit the signal on a first resource of the plurality of resources.

Random access PPDU for WLAN systems

An apparatus for estimating a trajectory of a tool may include: a memory storing instructions; and a processor configured to execute the instructions to: receive a task to be performed by the tool on a target object; receive a grayscale image and a depth image of the target object; and estimate a tool trajectory for performing the task, from the grayscale image and the depth image, via a pixels-to-plans neural network that is trained based on a labeled tool trajectory that is generated from a point cloud model of the target object.

Method and apparatus for estimating tool trajectories

Growing community of inventors

Princeton, NJ, United States of America

Daewon Lee