公开(公告)号：US11220003B2

公开(公告)日：2022-01-11

申请号：US16695532

申请日：2019-11-26

Applicant: X Development LLC

Inventor： James Joseph Kuffner

IPC: B25J19/06 ,  B25J9/16 ,  H04W4/30 ,  H04W4/80

Abstract: Example implementations may relate to a robotic system configured to provide feedback. In particular, the robotic system may determine a model of an environment in which the robotic system is operating. Based on this model, the robotic system may then determine one or more of a state or intended operation of the robotic system. Then, based one or more of the state or the intended operation, the robotic system may select one of one or more of the following to represent one or more of the state or the intended operation: visual feedback, auditory feedback, and one or more movements. Based on the selection, the robotic system may then engage in one or more of the visual feedback, the auditory feedback, and the one or more movements.

公开(公告)号：US20220005603A1

公开(公告)日：2022-01-06

申请号：US16921224

申请日：2020-07-06

Applicant: X Development LLC

Inventor： Garrett Raymond Honke ,  Pramod Gupta ,  Irina Higgins

IPC: G16H50/20 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training an auto-encoder to de-noise task specific electroencephalogram (EEG) signals. One of the methods includes training a variational auto-encoder (VAE) including to learn a plurality of parameter values of the VAE by applying, as first training input to the VAE, training data, the training data comprising electroencephalogram (EEG) data representing brain activities of individual persons when performing different tasks; and after the training, adapting the VAE for a specific task by applying, as second training input to the VAE, adaptation data, the adaptation data comprising task-specific EEG data representing brain activities of individual persons when performing the specific task.

公开(公告)号：US20210405252A1

公开(公告)日：2021-12-30

申请号：US16911278

申请日：2020-06-24

Applicant: X Development LLC

Inventor： Hongxu Ma ,  Kunxiaojia Yuan ,  Fa Li ,  Charlotte Leroy ,  Grigory Bronevetsky

IPC: G01W1/10 ,  G01W1/02 ,  G01W1/14 ,  G06N20/00

Abstract: Implementations are described herein for predicting a future climate condition in an agricultural area. In various implementations, a teleconnection model may be applied to a dataset of remote climate conditions such as water surface temperatures to identify one or more of the most influential remote climate conditions on the future climate condition in the agricultural area. A trained machine learning model may be applied to the one or more most influential remote climate conditions and to historical climate data for the agricultural area to generate data indicative of the predicted future climate condition. Based on the data indicative of the predicted future climate condition, one or more output components may be caused to render output that conveys the predicted future climate condition.

公开(公告)号：US11206088B2

公开(公告)日：2021-12-21

申请号：US17156725

申请日：2021-01-25

Applicant: X Development LLC

Inventor： Paul Csonka ,  Travis Lantz

IPC: H04B10/564 ,  H04B17/318 ,  H04B17/10 ,  H04B10/079 ,  H04B10/07 ,  H04B17/00 ,  H04B10/40 ,  H04B10/50 ,  H04B10/60

Abstract: A communication device is provided that estimates one or more disturbance values associated with one or more components of the communication device, and adjusts the communication device to change a received power of the output signal. The communication device includes a transmitter having a seed laser configured to provide an amount of bandwidth for an output signal, an Erbium-doped fiber amplifier (EDFA) configured to increase an amplitude of the output signal, and a single mode variable optical attenuator (SMVOA) configured to decrease the amplitude of the output signal.

公开(公告)号：US11205022B2

公开(公告)日：2021-12-21

申请号：US16244846

申请日：2019-01-10

Applicant: X Development LLC

Inventor： Jesse Lu ,  Martin Schubert ,  Brian Adolf

IPC: G06F30/00 ,  G06F111/10 ,  G06F30/23

Abstract: A method and system for optimizing structural parameters of an electromagnetic device is described that includes performing operations. The operations include performing a time-forward simulation of a field response in a simulated environment describing the electromagnetic device and extracting decomposition components from the field response to compute a loss value. The operations further include backpropagating the loss value backwards in time using the decomposition components to determine an influence of changes in the structural parameters of the electromagnetic device on the loss value. The operations further include generating a revised description of the electromagnetic device by updating the structural parameters to reduce the loss value.

公开(公告)号：US11198217B2

公开(公告)日：2021-12-14

申请号：US16728159

申请日：2019-12-27

Applicant: X Development LLC

Inventor： Nicolas Hudson ,  Devesh Yamparala

IPC: B25J13/08 ,  B25J9/16 ,  G05B13/02 ,  G06N3/04 ,  G06N3/08 ,  G06N3/00

Abstract: Methods, apparatus, and computer-readable media for determining and utilizing human corrections to robot actions. In some implementations, in response to determining a human correction of a robot action, a correction instance is generated that includes sensor data, captured by one or more sensors of the robot, that is relevant to the corrected action. The correction instance can further include determined incorrect parameter(s) utilized in performing the robot action and/or correction information that is based on the human correction. The correction instance can be utilized to generate training example(s) for training one or model(s), such as neural network model(s), corresponding to those used in determining the incorrect parameter(s). In various implementations, the training is based on correction instances from multiple robots. After a revised version of a model is generated, the revised version can thereafter be utilized by one or more of the multiple robots.

公开(公告)号：US20210383936A1

公开(公告)日：2021-12-09

申请号：US16891757

申请日：2020-06-03

Applicant: X Development LLC

Inventor： Vladimir Miskovic ,  Katherine Elise Link ,  Mustafa Ispir ,  Pramod Gupta

IPC: G16H70/60 ,  G16H20/70 ,  G16H10/20 ,  G16H40/63 ,  G16H20/30 ,  G06F17/18 ,  G06F16/28 ,  G06N3/04 ,  A61B5/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving physiological data of a patient, obtaining ecological momentary assessment (EMA) data by sending an EMA data prompt, and receiving patient input responsive to the EMA data prompt; and generating, based on the EMA data and the physiological data, a graphical representation of the patient's idiomatic psychopathology symptom network as a symptom network graph.

公开(公告)号：US20210362330A1

公开(公告)日：2021-11-25

申请号：US16880860

申请日：2020-05-21

Applicant: X Development LLC

Inventor： Bala Venkata Sai Ravi Krishna Kolluri ,  Stefan Schaal ,  Benjamin M. Davis ,  Ralf Oliver Michael Schönherr ,  Ning Ye

IPC: B25J9/16 ,  B25J9/00 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributing skill templates for robotic demonstration learning. One of the methods includes receiving, from the user device by a skill template distribution system, a selection of an available skill template. The skill template distribution system provides a skill template, wherein the skill template comprises information representing a state machine of one or more tasks, and wherein the skill template specifies which of the one or more tasks are demonstration subtasks requiring local demonstration data. The skill template distribution system trains a machine learning model for the demonstration subtask using a local demonstration data to generate learned parameter values.

公开(公告)号：US20210362328A1

公开(公告)日：2021-11-25

申请号：US16880813

申请日：2020-05-21

Applicant: X Development LLC

Inventor： Bala Venkata Sai Ravi Krishna Kolluri ,  Stefan Schaal ,  Ralf Oliver Michael Schönherr ,  Ning Ye

IPC: B25J9/16 ,  B25J13/06

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a demonstration device for robotic demonstration learning. One of the methods includes generating, by a demonstration device for a robot, a representation of a sequence of states input by a user of the demonstration device. The representation is provided by the demonstration device to a robot execution system. The representation of the sequence of actions is translated into a plurality of robot commands corresponding to the representation of the sequence of states input by the user on the demonstration device. The plurality of robot commands corresponding to the sequence of actions input by the user on the demonstration device are executed. Demonstration data is generated from one or more sensor streams of the robot while executing the plurality of robot commands corresponding to the sequence of actions input by the user on the demonstration device.

公开(公告)号：US20210349445A1

公开(公告)日：2021-11-11

申请号：US17110537

申请日：2020-12-03

Applicant: X Development LLC

Inventor： Kathryn Jane Zealand ,  Elliott J. Rouse ,  Georgios Evangelopoulos

IPC: G05B19/4155 ,  H04Q9/00 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an exosuit activity transition control structure. In some implementations, sensor data for a powered exosuit is received. The sensor data is classified depending on whether the sensor data is indicative of a transition between different types of activities of a wearer of the powered exosuit. The classification is provided to a control system for the powered exosuit. The powered exosuit is controlled based on the classification.