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1. 发明申请

US20180126550A1 ADAPTIVE PREDICTOR APPARATUS AND METHODS 审中-公开
公开(公告)号：US20180126550A1
公开(公告)日：2018-05-10
申请号：US15707985
申请日：2017-09-18
申请人： BRAIN CORPORATION
发明人： Eugene Izhikevich , Oleg Sinyavskiy , Jean-Baptiste Passot
IPC分类号： B25J9/16 , G06N3/04 , G06N3/00
CPC分类号： B25J9/163 , B25J9/161 , G05B2219/39292 , G05B2219/39298 , G05B2219/40499 , G06N3/008 , G06N3/049 , Y04S10/54
摘要： Apparatus and methods for training and operating of robotic devices. Robotic controller may comprise a predictor apparatus configured to generate motor control output. The predictor may be operable in accordance with a learning process based on a teaching signal comprising the control output. An adaptive controller block may provide control output that may be combined with the predicted control output. The predictor learning process may be configured to learn the combined control signal. Predictor training may comprise a plurality of trials. During initial trial, the control output may be capable of causing a robot to perform a task. During intermediate trials, individual contributions from the controller block and the predictor may be inadequate for the task. Upon learning, the control knowledge may be transferred to the predictor so as to enable task execution in absence of subsequent inputs from the controller. Control output and/or predictor output may comprise multi-channel signals.

2. 发明授权

US11982993B2 AI solution selection for an automated robotic process 有权
公开(公告)号：US11982993B2
公开(公告)日：2024-05-14
申请号：US17703191
申请日：2022-03-24
申请人： Strong Force TX Portfolio 2018, LLC
发明人： Charles Howard Cella , Jenna Lynn Parenti , Taylor D. Charon
IPC分类号： G05B19/41 , B25J9/16 , B25J13/00 , G05B13/02 , G05B19/18 , G05B19/4155 , G06F3/01 , G06F9/46 , G06F9/54 , G06F16/23 , G06F16/27 , G06F18/22 , G06F18/23 , G06F18/241 , G06N3/042 , G06N3/045 , G06N3/08 , G06N5/04 , G06N20/00 , G06Q10/0639 , G06Q10/10 , G06Q20/40 , G06Q30/018 , G06Q30/02 , G06Q30/0201 , G06Q30/0207 , G06Q30/0208 , G06Q40/03 , G06Q40/08 , G06Q50/00 , G06Q50/18 , G06Q50/26 , G16Y10/50 , G16Y40/10 , H04L9/06 , G06Q40/04
CPC分类号： G05B19/4155 , B25J9/161 , B25J9/163 , B25J9/1656 , B25J13/00 , G05B13/027 , G05B19/18 , G06F3/015 , G06F9/466 , G06F9/543 , G06F16/2379 , G06F16/27 , G06F18/22 , G06F18/23 , G06F18/241 , G06N3/042 , G06N3/045 , G06N3/08 , G06N5/04 , G06N20/00 , G06Q10/0639 , G06Q10/10 , G06Q20/405 , G06Q30/018 , G06Q30/0201 , G06Q30/0206 , G06Q30/0208 , G06Q30/0215 , G06Q30/0278 , G06Q40/03 , G06Q40/08 , G06Q50/01 , G06Q50/18 , G06Q50/188 , G06Q50/26 , G16Y10/50 , G16Y40/10 , H04L9/0637 , G05B2219/39292 , G05B2219/50391 , G06Q40/04 , G06Q2220/18
摘要： A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

3. 发明授权

US09764468B2 Adaptive predictor apparatus and methods 有权
公开(公告)号：US09764468B2
公开(公告)日：2017-09-19
申请号：US13842530
申请日：2013-03-15
申请人： BRAIN Corporation
发明人： Eugene Izhikevich , Oleg Sinyavskiy , Jean-Baptiste Passot
IPC分类号： G06F19/00 , B25J9/16 , G06N3/00 , G06N3/04
CPC分类号： B25J9/163 , B25J9/161 , G05B2219/39292 , G05B2219/39298 , G05B2219/40499 , G06N3/008 , G06N3/049
摘要： Apparatus and methods for training and operating of robotic devices. Robotic controller may comprise a predictor apparatus configured to generate motor control output. The predictor may be operable in accordance with a learning process based on a teaching signal comprising the control output. An adaptive controller block may provide control output that may be combined with the predicted control output. The predictor learning process may be configured to learn the combined control signal. Predictor training may comprise a plurality of trials. During initial trial, the control output may be capable of causing a robot to perform a task. During intermediate trials, individual contributions from the controller block and the predictor may be inadequate for the task. Upon learning, the control knowledge may be transferred to the predictor so as to enable task execution in absence of subsequent inputs from the controller. Control output and/or predictor output may comprise multi-channel signals.

4. 发明申请

US20140277718A1 ADAPTIVE PREDICTOR APPARATUS AND METHODS 有权
标题翻译：自适应预测装置和方法
公开(公告)号：US20140277718A1
公开(公告)日：2014-09-18
申请号：US13842530
申请日：2013-03-15
申请人： Eugene Izhikevich , Oleg Sinyavskiy , Jean-Baptiste Passot
发明人： Eugene Izhikevich , Oleg Sinyavskiy , Jean-Baptiste Passot
IPC分类号： B25J9/16
CPC分类号： B25J9/163 , B25J9/161 , G05B2219/39292 , G05B2219/39298 , G05B2219/40499 , G06N3/008 , G06N3/049
摘要： Apparatus and methods for training and operating of robotic devices. Robotic controller may comprise a predictor apparatus configured to generate motor control output. The predictor may be operable in accordance with a learning process based on a teaching signal comprising the control output. An adaptive controller block may provide control output that may be combined with the predicted control output. The predictor learning process may be configured to learn the combined control signal. Predictor training may comprise a plurality of trials. During initial trial, the control output may be capable of causing a robot to perform a task. During intermediate trials, individual contributions from the controller block and the predictor may be inadequate for the task. Upon learning, the control knowledge may be transferred to the predictor so as to enable task execution in absence of subsequent inputs from the controller. Control output and/or predictor output may comprise multi-channel signals.
摘要翻译：机器人装置的训练和操作的装置和方法。机器人控制器可以包括被配置为产生电动机控制输出的预测器装置。预测器可以根据包括控制输出的教学信号的学习过程来操作。自适应控制器块可以提供可以与预测的控制输出组合的控制输出。预测器学习过程可以被配置为学习组合的控制信号。预测器训练可以包括多个试验。在初始试验期间，控制输出可能导致机器人执行任务。在中期试验期间，控制器块和预测器的个人贡献可能不足以完成任务。在学习时，控制知识可以被传送到预测器，以便在没有来自控制器的后续输入的情况下使得能够执行任务。控制输出和/或预测器输出可以包括多信道信号。

5. 发明申请

US20120209432A1 HYBRID CONTROL DEVICE 有权
标题翻译：混合控制装置
公开(公告)号：US20120209432A1
公开(公告)日：2012-08-16
申请号：US13439702
申请日：2012-04-04
申请人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
发明人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
IPC分类号： G05B13/00
CPC分类号： G06N3/0427 , G05B13/027 , G05B15/02 , G05B2219/39292 , G05B2219/39385 , G06K9/00664
摘要： A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.
摘要翻译：用于在现实环境中移动的基于脑的设备（BBD）具有提供关于环境的数据的传感器，用于移动BBD的致动器，以及包括具有模拟神经系统的神经控制器的混合控制器，所述神经控制器是被选择的模型人脑的区域和基于计算算法网络的非神经控制器。神经控制器和非神经控制器相互作用以控制BBD的运动。

6. 发明申请

US20110022230A1 HYBRID CONTROL DEVICE 审中-公开
标题翻译：混合控制装置
公开(公告)号：US20110022230A1
公开(公告)日：2011-01-27
申请号：US12842914
申请日：2010-07-23
申请人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
发明人： Jason G. Fleischer , Botond Szatmary , Donald B. Hutson , Douglas A. Moore , James A. Snook , Gerald M. Edelman , Jeffrey L. Krichmar
IPC分类号： G05B19/04
CPC分类号： G06N3/0427 , G05B13/027 , G05B15/02 , G05B2219/39292 , G05B2219/39385 , G06K9/00664
摘要： A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.
摘要翻译：用于在现实环境中移动的基于脑的设备（BBD）具有提供关于环境的数据的传感器，用于移动BBD的致动器，以及包括具有模拟神经系统的神经控制器的混合控制器，所述神经控制器是被选择的模型人脑的区域和基于计算算法网络的非神经控制器。神经控制器和非神经控制器相互作用以控制BBD的运动。

7. 发明授权

US12072686B2 Mobile brain computer interface 有权
公开(公告)号：US12072686B2
公开(公告)日：2024-08-27
申请号：US18336342
申请日：2023-06-16
申请人： Duke University
发明人： Allen Song , Chris Petty
IPC分类号： G05B19/41 , B25J9/00 , B25J9/16 , B25J13/00 , G05B19/4155 , G06F3/01
CPC分类号： G05B19/4155 , B25J9/0006 , B25J9/1656 , B25J13/00 , G06F3/015 , G05B2219/39292
摘要： A method includes receiving, by a mobile computing device from an electroencephalogram (EEG) monitoring headset, an incoming wireless communication signal including an EEG data stream. The method may further include processing, by an application running on the mobile computing device, the received EEG data stream to determine at least one actionable command for at least one peripheral device. The method may also include transmitting, by the mobile computing device to the at least one peripheral device, at least one outgoing wireless communication signal including the at least one determined actionable command.

8. 发明申请

US20140012787A1 SYSTEM AND METHOD FOR INFORMATION PROCESSING AND MOTOR CONTROL 审中-公开
标题翻译：用于信息处理和电机控制的系统和方法
公开(公告)号：US20140012787A1
公开(公告)日：2014-01-09
申请号：US14018419
申请日：2013-09-05
申请人： Qin Zhang
发明人： Qin Zhang
IPC分类号： G06N5/02 , G06N99/00
CPC分类号： G06N5/02 , B25J9/1602 , G05B2219/33002 , G05B2219/33065 , G05B2219/39292 , G06N20/00 , Y10S901/46 , Y10S901/50
摘要： The present invention relates to a system and method for information process and motor control using artificially constructed apparatus. More specially, the present invention provides a system and method that can process nature language and other informational input including visual, audio and other sensory inputs and respond intelligently.
摘要翻译：本发明涉及一种使用人工构造的设备进行信息处理和电机控制的系统和方法。更具体地，本发明提供一种可以处理自然语言和其他信息输入的系统和方法，包括视觉，音频和其他感官输入并智能地响应。

9. 发明申请

US20070100780A1 Hybrid control device 有权
标题翻译：混合控制装置
公开(公告)号：US20070100780A1
公开(公告)日：2007-05-03
申请号：US11530685
申请日：2006-09-11
申请人： Jason Fleischer , Botond Szatmary , Donald Hutson , Douglas Moore , James Snook , Gerald Edelman , Jeffrey Krichmar
发明人： Jason Fleischer , Botond Szatmary , Donald Hutson , Douglas Moore , James Snook , Gerald Edelman , Jeffrey Krichmar
IPC分类号： G06N3/02
CPC分类号： G06N3/0427 , G05B13/027 , G05B15/02 , G05B2219/39292 , G05B2219/39385 , G06K9/00664
摘要： A hybrid control system for a robot can include a neuronal control portion and a non-neuronal control portion.
摘要翻译：用于机器人的混合控制系统可以包括神经元控制部分和非神经元控制部分。

10. 发明公开

US20230333541A1 Mobile Brain Computer Interface 审中-公开
公开(公告)号：US20230333541A1
公开(公告)日：2023-10-19
申请号：US18336342
申请日：2023-06-16
申请人： Duke University
发明人： Allen Song , Chris Petty
IPC分类号： G05B19/4155 , G06F3/01 , B25J9/00 , B25J9/16 , B25J13/00
CPC分类号： G05B19/4155 , G06F3/015 , B25J9/0006 , B25J9/1656 , B25J13/00 , G05B2219/39292
摘要： A method includes receiving, by a mobile computing device from an electroencephalogram (EEG) monitoring headset, an incoming wireless communication signal including an EEG data stream. The method may further include processing, by an application running on the mobile computing device, the received EEG data stream to determine at least one actionable command for at least one peripheral device. The method may also include transmitting, by the mobile computing device to the at least one peripheral device, at least one outgoing wireless communication signal including the at least one determined actionable command.

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