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公开(公告)号：US09579790B2
公开(公告)日：2017-02-28
申请号：US14489373
申请日：2014-09-17
Applicant: Brain Corporation
Inventor： Patryk Laurent , Csaba Petre , Eugene M. Izhikevich , Vadim Polonichko
IPC: B25J9/16
CPC classification number: B25J9/163 , G05B2219/2642 , G05B2219/40116 , Y10S901/05
Abstract: Computerized appliances may be operated by users remotely. In one implementation, a learning controller apparatus may be operated to determine association between a user indication and an action by the appliance. The user indications, e.g., gestures, posture changes, audio signals may trigger an event associated with the controller. The event may be linked to a plurality of instructions configured to communicate a command to the appliance. The learning apparatus may receive sensory input conveying information about robot's state and environment (context). The sensory input may be used to determine the user indications. During operation, upon determine the indication using sensory input, the controller may cause execution of the respective instructions in order to trigger action by the appliance. Device animation methodology may enable users to operate computerized appliances using gestures, voice commands, posture changes, and/or other customized control elements.
Abstract translation: 计算机化设备可由用户远程操作。 在一个实现中，可以操作学习控制器设备以确定用户指示与设备的动作之间的关联。 用户指示，例如手势，姿势改变，音频信号可以触发与控制器相关联的事件。 事件可以被链接到被配置为向设备传达命令的多个指令。 学习装置可以接收关于机器人的状态和环境（上下文）的感官输入。 感官输入可用于确定用户指示。 在操作期间，在使用感觉输入确定指示时，控制器可以引起相应指令的执行，以触发设备的动作。 设备动画方法可以使用户能够使用手势，语音命令，姿势改变和/或其他定制的控制元素来操作计算机化的设备。
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公开(公告)号：US20160075034A1
公开(公告)日：2016-03-17
申请号：US14489353
申请日：2014-09-17
Applicant: Brain Corporation
Inventor： PATRYK LAURENT , Csaba Petre , Eugene M. Izhikevich
CPC classification number: H04L12/282 , G05B15/02 , G05B2219/2642 , G05B2219/40411 , H01H2300/03 , Y02B70/325 , Y04S20/228
Abstract: Computerized appliances may be operated by users remotely. A learning controller apparatus may be operated to determine association between a user indication and an action by the appliance. The user indications, e.g., gestures, posture changes, audio signals may trigger an event associated with the controller. The event may be linked to a plurality of instructions configured to communicate a command to the appliance. The learning apparatus may receive sensory input conveying information about robot's state and environment (context). The sensory input may be used to determine the user indications. During operation, upon determine the indication using sensory input, the controller may cause execution of the respective instructions in order to trigger action by the appliance. Device animation methodology may enable users to operate computerized appliances using gestures, voice commands, posture changes, and/or other customized control elements.
Abstract translation: 计算机化设备可由用户远程操作。 可以操作学习控制器设备以确定用户指示与设备的动作之间的关联。 用户指示，例如手势，姿势改变，音频信号可以触发与控制器相关联的事件。 事件可以被链接到被配置为向设备传达命令的多个指令。 学习装置可以接收关于机器人的状态和环境（上下文）的感官输入。 感官输入可用于确定用户指示。 在操作期间，在使用感觉输入确定指示时，控制器可以引起相应指令的执行，以触发设备的动作。 设备动画方法可以使用户能够使用手势，语音命令，姿势改变和/或其他定制的控制元素来操作计算机化的设备。
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13.发明申请APPARATUS AND METHODS FOR CONTEXT DETERMINATION USING REAL TIME SENSOR DATA 有权使用实时传感器数据进行上下文确定的装置和方法公开(公告)号：US20160075016A1
公开(公告)日：2016-03-17
申请号：US14489368
申请日：2014-09-17
Applicant: Brain Corporation
Inventor： Patryk Laurent , Csaba Petre , Eugene M. Izhikevich
CPC classification number: B25J13/006 , G05B15/02 , G05B2219/2642 , Y10S901/03
Abstract: Computerized appliances may be operated by users remotely. In one exemplary implementation, a learning controller apparatus may be operated to determine association between a user indication and an action by the appliance. The user indications, e.g., gestures, posture changes, audio signals may trigger an event associated with the controller. The event may be linked to a plurality of instructions configured to communicate a command to the appliance. The learning apparatus may receive sensory input conveying information about robot's state and environment (context). The sensory input may be used to determine the user indications. During operation, upon determine the indication using sensory input, the controller may cause execution of the respective instructions in order to trigger action by the appliance. Device animation methodology may enable users to operate computerized appliances using gestures, voice commands, posture changes, and/or other customized control elements.
Abstract translation: 计算机化设备可由用户远程操作。 在一个示例性实现中，可以操作学习控制器设备以确定用户指示与设备的动作之间的关联。 用户指示，例如手势，姿势改变，音频信号可以触发与控制器相关联的事件。 事件可以被链接到被配置为向设备传达命令的多个指令。 学习装置可以接收关于机器人的状态和环境（上下文）的感官输入。 感官输入可用于确定用户指示。 在操作期间，在使用感觉输入确定指示时，控制器可以引起相应指令的执行，以触发设备的动作。 设备动画方法可以使用户能够使用手势，语音命令，姿势改变和/或其他定制的控制元素来操作计算机化的设备。
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公开(公告)号：US20160075015A1
公开(公告)日：2016-03-17
申请号：US14489242
申请日：2014-09-17
Applicant: Brain Corporation
Inventor： Eugene M. Izhikevich , Patryk Laurent , Csaba Petre , Todd Hylton , Vadim Polonichko
CPC classification number: B25J9/163 , B25J9/1697 , G05B15/02 , G05B2219/2642 , G05B2219/40411 , H04L12/2803 , H04L12/282 , H04L2012/2841 , H04L2012/2849 , Y10S901/05
Abstract: Computerized appliances may be operated by users remotely. A learning controller apparatus may be operated to determine association between a user indication and an action by the appliance. The user indications, e.g., gestures, posture changes, audio signals may trigger an event associated with the controller. The event may be linked to a plurality of instructions configured to communicate a command to the appliance. The learning apparatus may receive sensory input conveying information about robot's state and environment (context). The sensory input may be used to determine the user indications. During operation, upon determine the indication using sensory input, the controller may cause execution of the respective instructions in order to trigger action by the appliance. Device animation methodology may enable users to operate computerized appliances using gestures, voice commands, posture changes, and/or other customized control elements.
Abstract translation: 计算机化设备可由用户远程操作。 可以操作学习控制器设备以确定用户指示与设备的动作之间的关联。 用户指示，例如手势，姿势改变，音频信号可以触发与控制器相关联的事件。 事件可以被链接到被配置为向设备传达命令的多个指令。 学习装置可以接收关于机器人的状态和环境（上下文）的感官输入。 感官输入可用于确定用户指示。 在操作期间，在使用感觉输入确定指示时，控制器可以引起相应指令的执行，以触发设备的动作。 设备动画方法可以使用户能够使用手势，语音命令，姿势改变和/或其他定制的控制元素来操作计算机化的设备。
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Patent Agency Ranking
公开(公告)号：US08983216B2
公开(公告)日：2015-03-17
申请号：US13895246
申请日：2013-05-15
Applicant: Brain Corporation
Inventor： Eugene M. Izhikevich , Botond Szatmary , Csaba Petre
CPC classification number: H04N19/107 , G06K9/46 , G06N3/049 , G06T7/20 , G06T7/40 , G06T9/002 , G06T2207/10016 , H04B14/026 , H04N19/00
Abstract: Systems and methods for processing image signals are described. One method comprises obtaining a generator signal based on an image signal and determining relative latencies associated with two or more pulses in a pulsed signal using a function of the generator signal that can comprise a logarithmic function. The function of the generator signal can be the absolute value of its argument. Information can be encoded in the pattern of relative latencies. Latencies can be determined using a scaling parameter that is calculated from a history of the image signal. The pulsed signal is typically received from a plurality of channels and the scaling parameter corresponds to at least one of the channels. The scaling parameter may be adaptively calculated such that the latency of the next pulse falls within one or more of a desired interval and an optimal interval.
Abstract translation: 描述用于处理图像信号的系统和方法。 一种方法包括基于图像信号获得发生器信号，并且使用可以包括对数函数的发生器信号的函数来确定与脉冲信号中的两个或更多个脉冲相关联的相对延迟。 发电机信号的功能可以是其参数的绝对值。 信息可以以相对延迟的模式进行编码。 可以使用从图像信号的历史计算的缩放参数来确定延迟。 通常从多个通道接收脉冲信号，并且缩放参数对应于至少一个通道。 可以自适应地计算缩放参数，使得下一个脉冲的等待时间落入期望的间隔和最佳间隔的一个或多个之内。
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公开(公告)号：US20140250037A1
公开(公告)日：2014-09-04
申请号：US14198550
申请日：2014-03-05
Applicant: BRAIN CORPORATION
Inventor： Eugene M. Izhikevich , Botond Szatmary , Csaba Petre , Filip Piekniewski
IPC: G06N3/10
Abstract: A simple format is disclosed and referred to as Elementary Network Description (END). The format can fully describe a large-scale neuronal model and embodiments of software or hardware engines to simulate such a model efficiently. The architecture of such neuromorphic engines is optimal for high-performance parallel processing of spiking networks with spike-timing dependent plasticity. Methods for managing memory in a processing system are described whereby memory can be allocated among a plurality of elements and rules configured for each element such that the parallel execution of the spiking networks is most optimal.
Abstract translation: 公开了一种简单的格式，并被称为基本网络描述（END）。 该格式可以充分描述大规模神经元模型和软件或硬件引擎的实施例，以有效地模拟这种模型。 这种神经形态发动机的架构对于具有尖峰时间依赖可塑性的加标网络的高性能并行处理是最佳的。 描述了用于管理处理系统中的存储器的方法，其中可以在为每个元件配置的多个元件和规则之间分配存储器，使得加标网络的并行执行是最佳的。
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公开(公告)号：US09630317B2
公开(公告)日：2017-04-25
申请号：US14244888
申请日：2014-04-03
Applicant: BRAIN CORPORATION
Inventor： Eugene M. Izhikevich , Patryk Laurent , Micah Richert , Csaba Petre
CPC classification number: B25J9/163 , B25J9/161 , G05D1/0022 , G05D1/0088 , G05D1/0246 , G05D2201/02 , G06N3/008 , G06N3/049 , G06N99/005
Abstract: Robotic devices may be operated by users remotely. A learning controller apparatus may detect remote transmissions comprising user control instructions. The learning apparatus may receive sensory input conveying information about robot's state and environment (context). The learning apparatus may monitor one or more wavelength (infrared light, radio channel) and detect transmissions from user remote control device to the robot during its operation by the user. The learning apparatus may be configured to develop associations between the detected user remote control instructions and actions of the robot for given context. When a given sensory context occurs, the learning controller may automatically provide control instructions to the robot that may be associated with the given context. The provision of control instructions to the robot by the learning controller may obviate the need for user remote control of the robot thereby enabling autonomous operation by the robot.
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公开(公告)号：US20160075017A1
公开(公告)日：2016-03-17
申请号：US14489373
申请日：2014-09-17
Applicant: BRAIN CORPORATION
Inventor： Patryk Laurent , Csaba Petre , Eugene M. Izhikevich , Vadim Polonichko
CPC classification number: B25J9/163 , G05B2219/2642 , G05B2219/40116 , Y10S901/05
Abstract: Computerized appliances may be operated by users remotely. In one implementation, a learning controller apparatus may be operated to determine association between a user indication and an action by the appliance. The user indications, e.g., gestures, posture changes, audio signals may trigger an event associated with the controller. The event may be linked to a plurality of instructions configured to communicate a command to the appliance. The learning apparatus may receive sensory input conveying information about robot's state and environment (context). The sensory input may be used to determine the user indications. During operation, upon determine the indication using sensory input, the controller may cause execution of the respective instructions in order to trigger action by the appliance. Device animation methodology may enable users to operate computerized appliances using gestures, voice commands, posture changes, and/or other customized control elements.
Abstract translation: 计算机化设备可由用户远程操作。 在一个实现中，可以操作学习控制器设备以确定用户指示与设备的动作之间的关联。 用户指示，例如手势，姿势改变，音频信号可以触发与控制器相关联的事件。 事件可以被链接到被配置为向设备传达命令的多个指令。 学习装置可以接收关于机器人的状态和环境（上下文）的感官输入。 感官输入可用于确定用户指示。 在操作期间，在使用感觉输入确定指示时，控制器可以引起相应指令的执行，以触发设备的动作。 设备动画方法可以使用户能够使用手势，语音命令，姿势改变和/或其他定制的控制元素来操作计算机化的设备。
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公开(公告)号：US20150283703A1
公开(公告)日：2015-10-08
申请号：US14244890
申请日：2014-04-03
Applicant: BRAIN CORPORATION
Inventor： Eugene M. Izhikevich , Patryk Laurent , Csaba Petre
CPC classification number: B25J9/163 , G05B13/00 , G05D1/0022 , G05D1/0088 , G05D1/0246 , G05D2201/02 , G06N3/008 , G06N3/049 , G06N20/00 , Y10S901/47
Abstract: Robotic devices may be operated by users remotely. A learning controller apparatus may detect remote transmissions comprising user control instructions. The learning apparatus may receive sensory input conveying information about robot's state and environment (context). The learning apparatus may monitor one or more wavelength (infrared light, radio channel) and detect transmissions from user remote control device to the robot during its operation by the user. The learning apparatus may be configured to develop associations between the detected user remote control instructions and actions of the robot for given context. When a given sensory context occurs, the learning controller may automatically provide control instructions to the robot that may be associates with the given context. The provision of control instructions to the robot by the learning controller may obviate the need for user remote control of the robot thereby enabling autonomous operation by the robot.
Abstract translation: 机器人设备可以由用户远程操作。 学习控制器装置可以检测包括用户控制指令的远程传输。 学习装置可以接收关于机器人的状态和环境（上下文）的感官输入。 学习装置可以监视一个或多个波长（红外光，无线电信道），并且在用户操作期间检测从用户遥控装置到机器人的传输。 学习装置可以被配置为在给定的上下文之间发展检测到的用户远程控制指令和机器人的动作之间的关联。 当发生给定的感觉上下文时，学习控制器可以自动向可能与给定上下文相关联的机器人提供控制指令。 通过学习控制器向机器人提供控制指令可以避免用户对机器人的远程控制的需要，从而实现机器人的自主操作。
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