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    Apparatus and methods for programming and training of robotic household appliances
    2.
    发明授权
    Apparatus and methods for programming and training of robotic household appliances 有权

    公开(公告)号：US11363929B2

    公开(公告)日：2022-06-21

    申请号：US16454199

    申请日：2019-06-27

    Applicant: Brain Corporation

    Inventor： Botond Szatmary ,  Vadim Polonichko

    IPC: A47L9/28 ,  A47L9/00 ,  G05D1/02 ,  G06N3/00 ,  G06N3/04

    Abstract: Apparatus and methods for training and operating of robotic appliances. Robotic appliance may be operable to clean user premises. The user may train the appliance to perform cleaning operations in constrained areas. The appliance may be configured to clean other area of the premises automatically. The appliance may perform premises exploration and/or determine map of the premises. The appliance may be provided priority information associated with areas of the premises. The appliance may perform cleaning operations in order of the priority. Robotic vacuum cleaner appliance may be configured for safe cable operation wherein the controller may determine one or more potential obstructions (e.g., a cable) along operating trajectory. Upon approaching the cable, the controller may temporarily disable brushing mechanism in order to prevent cable damage.

    SYSTEM AND METHOD FOR MOTION CONTROL OF ROBOTS
    3.
    发明申请
    SYSTEM AND METHOD FOR MOTION CONTROL OF ROBOTS 审中-公开

    公开(公告)号：US20200073401A1

    公开(公告)日：2020-03-05

    申请号：US16679548

    申请日：2019-11-11

    Applicant: Brain Corporation

    Inventor： Botond Szatmary ,  Micah Richert ,  Jean-Baptiste Passot ,  John Black ,  Oliver Martin

    IPC: G05D1/02

    Abstract: A system for controlling movement of a device comprises at least one processor configured to receive a first input from a sensor upon detection of an obstacle in a first region of the device and a different second input from the sensor upon detection of the object in a different second region of the device and further configured to transmit a first signal to at least one actuator upon receiving the first input from the sensor, the first signal including a strength of first value and transmit a second signal upon receiving the second input from the sensor, the second value being greater than the first value.

    Apparatus and methods for programming and training of robotic household appliances
    4.
    发明授权
    Apparatus and methods for programming and training of robotic household appliances 有权

    公开(公告)号：US10376117B2

    公开(公告)日：2019-08-13

    申请号：US15665146

    申请日：2017-07-31

    Applicant: Brain Corporation

    Inventor： Botond Szatmary ,  Vadim Polonichko

    IPC: A47L9/28 ,  A47L9/00 ,  G05D1/02 ,  G06N3/00 ,  G06N3/04

    Abstract: Apparatus and methods for training and operating of robotic appliances. Robotic appliance may be operable to clean user premises. The user may train the appliance to perform cleaning operations in constrained areas. The appliance may be configured to clean other area of the premises automatically. The appliance may perform premises exploration and/or determine map of the premises. The appliance may be provided priority information associated with areas of the premises. The appliance may perform cleaning operations in order of the priority. Robotic vacuum cleaner appliance may be configured for safe cable operation wherein the controller may determine one or more potential obstructions (e.g., a cable) along operating trajectory. Upon approaching the cable, the controller may temporarily disable brushing mechanism in order to prevent cable damage.

    NEURAL NETWORK LEARNING AND COLLABORATION APPARATUS AND METHODS
    5.
    发明申请
    NEURAL NETWORK LEARNING AND COLLABORATION APPARATUS AND METHODS 有权
    神经网络学习与协作设备与方法

    公开(公告)号：US20140089232A1

    公开(公告)日：2014-03-27

    申请号：US13830398

    申请日：2013-03-14

    Applicant: Brain Corporation

    Inventor： Marius Buibas ,  Eugene M. Izhikevich ,  Botond Szatmary ,  Vadim Polonichko

    IPC: G06N3/08

    CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/049 ,  G06N3/10

    Abstract: Apparatus and methods for learning and training in neural network-based devices. In one implementation, the devices each comprise multiple spiking neurons, configured to process sensory input. In one approach, alternate heterosynaptic plasticity mechanisms are used to enhance learning and field diversity within the devices. The selection of alternate plasticity rules is based on recent post-synaptic activity of neighboring neurons. Apparatus and methods for simplifying training of the devices are also disclosed, including a computer-based application. A data representation of the neural network may be imaged and transferred to another computational environment, effectively copying the brain. Techniques and architectures for achieve this training, storing, and distributing these data representations are also disclosed.

    Abstract translation: 基于神经网络的设备学习和训练的装置和方法。 在一个实施方式中，每个装置包括多个加标神经元，其配置成处理感觉输入。 在一种方法中，使用交替的异质突触可塑性机制来增强装置内的学习和场分集。 替代可塑性规则的选择是基于最近邻近神经元的突触后活动。 还公开了用于简化设备训练的装置和方法，包括基于计算机的应用。 神经网络的数据表示可以被成像并传送到另一个计算环境，有效地复制大脑。 还公开了用于实现这种训练，存储和分发这些数据表示的技术和架构。

    SYSTEMS AND METHODS FOR TRAINING NEURAL NETWORKS ON A CLOUD SERVER USING SENSORY DATA COLLECTED BY ROBOTS
    8.
    发明申请
    SYSTEMS AND METHODS FOR TRAINING NEURAL NETWORKS ON A CLOUD SERVER USING SENSORY DATA COLLECTED BY ROBOTS 有权

    公开(公告)号：US20220269943A1

    公开(公告)日：2022-08-25

    申请号：US17745088

    申请日：2022-05-16

    Applicant: Brain Corporation

    Inventor： Botond Szatmary ,  David Ross

    IPC: G06N3/08 ,  G06N5/04

    Abstract: Systems and methods for training neural networks on a cloud server using sensory data collected by plurality of robots is disclosed herein. The model may be derived from one or more trained neural networks, the neural networks being trained using data collected by one or more robots. Advantageously, data collection by robots may enhance consistency, reliability, and quality of data received for use in training one or more neural networks. The model may be utilized by robots, upon sufficient training of the neural networks, such that the robots may identify features within their environments. Advantageously, the model may be trained on a cloud server and utilized by individual robots for use in enhancing autonomy of the robots, wherein the utilization of the model requires significantly fewer computational resources than training of the neural networks to develop the model.

    Apparatus and methods for programming and training of robotic devices
    9.
    发明授权
    Apparatus and methods for programming and training of robotic devices 有权

    公开(公告)号：US10105841B1

    公开(公告)日：2018-10-23

    申请号：US14613237

    申请日：2015-02-03

    Applicant: BRAIN CORPORATION

    Inventor： Botond Szatmary ,  Oyvind Grotmol ,  Eugene Izhikevich ,  Oleg Sinyavskiy

    IPC: B25J9/16 ,  G06N99/00 ,  B25J9/00

    Abstract: Apparatus and methods for training and operating of robotic devices. Robotic controller may comprise a plurality of predictor apparatus configured to generate motor control output. One predictor may be operable in accordance with a pre-configured process; another predictor may be operable in accordance with a learning process configured based on a teaching signal. An adaptive combiner component may be configured to determine a combined control output controller block may provide control output that may be combined with the predicted control output. The pre-programmed predictor may be configured to operate a robot to perform a task. Based on detection of a context, the controller may adaptively switch to use control output of the learning process to perform the given or another task. User feedback may be utilized during learning.

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