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    APPARATUS AND METHODS FOR TRACKING SALIENT FEATURES
    31.
    发明申请
    APPARATUS AND METHODS FOR TRACKING SALIENT FEATURES 审中-公开

    公开(公告)号：US20190043208A1

    公开(公告)日：2019-02-07

    申请号：US16042901

    申请日：2018-07-23

    Applicant: Brain Corporation

    Inventor： Filip Piekniewski ,  Micah Richert ,  Dimitry Fisher

    IPC: G06T7/292

    Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.

    TRAINABLE MODULAR ROBOTIC APPARATUS AND METHODS
    37.
    发明申请
    TRAINABLE MODULAR ROBOTIC APPARATUS AND METHODS 审中-公开

    公开(公告)号：US20170266805A1

    公开(公告)日：2017-09-21

    申请号：US15474880

    申请日：2017-03-30

    Applicant: Brain Corporation

    Inventor： Eugene Izhikevich ,  Dimitry Fisher ,  Jean-Baptiste Passot

    IPC: B25J9/00 ,  B25J9/10 ,  B25J9/08

    CPC classification number: B25J9/0009 ,  B25J9/08 ,  B25J9/104 ,  Y10T74/20305 ,  Y10T74/20311

    Abstract: Apparatus and methods for a modular robotic device with artificial intelligence that is receptive to training controls. In one implementation, modular robotic device architecture may be used to provide all or most high cost components in an autonomy module that is separate from the robotic body. The autonomy module may comprise controller, power, actuators that may be connected to controllable elements of the robotic body. The controller may position limbs of the toy in a target position. A user may utilize haptic training approach in order to enable the robotic toy to perform target action(s). Modular configuration of the disclosure enables users to replace one toy body (e.g., the bear) with another (e.g., a giraffe) while using hardware provided by the autonomy module. Modular architecture may enable users to purchase a single AM for use with multiple robotic bodies, thereby reducing the overall cost of ownership.

    INTERFACE FOR USE WITH TRAINABLE MODULAR ROBOTIC APPARATUS
    38.
    发明申请
    INTERFACE FOR USE WITH TRAINABLE MODULAR ROBOTIC APPARATUS 审中-公开
    使用可接受的模块化机器人界面

    公开(公告)号：US20160151912A1

    公开(公告)日：2016-06-02

    申请号：US14958825

    申请日：2015-12-03

    Applicant: BRAIN Corporation

    Inventor： Eugene Izhikevich ,  Dimitry Fisher ,  Jean-Baptiste Passot ,  Heathcliff Hatcher ,  Vadim Polonichko

    IPC: B25J9/16 ,  A63H3/20

    CPC classification number: B25J9/163 ,  A63H3/20 ,  B25J9/1694 ,  B25J13/08 ,  G06N3/008 ,  G06N3/049 ,  G06N99/005 ,  Y10S901/02 ,  Y10S901/04 ,  Y10S901/09 ,  Y10S901/50

    Abstract: Apparatus and methods for a modular robotic device with artificial intelligence that is receptive to training controls. In one implementation, modular robotic device architecture may be used to provide all or most high cost components in an autonomy module that is separate from the robotic body. The autonomy module may comprise controller, power, actuators that may be connected to controllable elements of the robotic body. The controller may position limbs of the toy in a target position. A user may utilize haptic training approach in order to enable the robotic toy to perform target action(s). Modular configuration of the disclosure enables users to replace one toy body (e.g., the bear) with another (e.g., a giraffe) while using hardware provided by the autonomy module. Modular architecture may enable users to purchase a single AM for use with multiple robotic bodies, thereby reducing the overall cost of ownership.

    Abstract translation: 具有接受训练控制的人造智能的模块化机器人装置的装置和方法。 在一个实现中，模块化机器人设备架构可以用于在与机器人主体分离的自主模块中提供全部或最高成本的组件。 自主模块可以包括可以连接到机器人身体的可控元件的控制器，电源，致动器。 控制器可将玩具的四肢定位在目标位置。 用户可以利用触觉训练方法，以使机器人玩具能够执行目标动作。 本公开的模块化配置使得用户可以在使用由自主模块提供的硬件的同时，用另一个（例如，长颈鹿）来替换一个玩具体（例如熊）。 模块化架构可以使用户能够购买单个AM以用于多个机器人体，从而降低总拥有成本。

    Apparatus and methods for encoding of sensory data using artificial spiking neurons
    40.
    发明授权
    Apparatus and methods for encoding of sensory data using artificial spiking neurons 有权
    使用人造尖峰神经元编码感觉数据的装置和方法

    公开(公告)号：US09047568B1

    公开(公告)日：2015-06-02

    申请号：US13623820

    申请日：2012-09-20

    Applicant: BRAIN CORPORATION

    Inventor： Dimitry Fisher ,  Botond Szatmary ,  Eugene Izhikevich

    IPC: G06N5/02 ,  G06N3/04

    CPC classification number: G06N3/0472 ,  G06N3/049

    Abstract: Sensory encoder may be implemented. Visual encoder apparatus may comprise spiking neuron network configured to receive photodetector input. Excitability of neurons may be adjusted and output spike may be generated based on the input. When neurons generate spiking response, spiking threshold may be dynamically adapted to produce desired output rate. The encoder may dynamically adapt its input range to match statistics of the input and to produce output spikes at an appropriate rate and/or latency. Adaptive input range adjustment and/or spiking threshold adjustment collaborate to enable recognition of features in sensory input of varying dynamic range.

    Abstract translation: 可以实现感觉编码器。 可视编码器装置可以包括配置成接收光电检测器输入的加标神经元网络。 可以调整神经元的兴奋性，并且可以基于输入产生输出尖峰。 当神经元产生尖峰响应时，尖峰阈值可以动态地适应以产生期望的输出速率。 编码器可以动态地调整其输入范围以匹配输入的统计量，并以适当的速率和/或等待时间产生输出尖峰。 自适应输入范围调整和/或加标阈值调整协作可以识别不同动态范围的感官输入中的特征。

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