公开(公告)号：US08924317B2

公开(公告)日：2014-12-30

申请号：US13589559

申请日：2012-08-20

申请人： Kenta Kawamoto

发明人： Kenta Kawamoto

IPC分类号： G06N5/00 ,  G06F1/00 ,  G06N99/00

CPC分类号： G06N99/005

摘要： There is provided an information processing apparatus including an information amount gain calculation unit that, on the assumption that a factor that could cause a state transition in a state transition model occurs and the state transition takes place as a result of an occurrence of the factor, determines an information amount gain, which is an information amount obtained by causing the factor to occur regarding a causal relationship between the factor and the state transition and observing a result thereof, an evaluation value calculation unit that determines an evaluation value to evaluate effectiveness of causing each of the factors to occur based on the information amount gain to acquire the causal relationship between the factor and the state transition, and a decision unit that decides the factor to be occurred based on the evaluation value.

摘要翻译： 提供了一种信息处理装置，其包括：信息量增益计算单元，假设发生状态转换模型中可能导致状态转换的因素，并且由于该因素的发生而发生状态转换， 确定信息量增益，该信息量增益是通过使因素发生在因子和状态转换之间的因果关系而获得的信息量增益，并且观察其结果，评估值计算单元确定评估值以评估引起的有效性 基于所述信息量增益获得所述因素和所述状态转移之间的因果关系的每个因素，以及基于所述评估值来决定要发生的因子的决定单元。

公开(公告)号：US20130054166A1

公开(公告)日：2013-02-28

申请号：US13571719

申请日：2012-08-10

申请人： Hirotaka Suzuki ,  Kenta Kawamoto

发明人： Hirotaka Suzuki ,  Kenta Kawamoto

IPC分类号： G06F19/00 ,  G01R21/00

CPC分类号： G06Q50/06 ,  H02J2003/007 ,  Y02E60/76 ,  Y04S40/22

摘要： In some embodiments, a system comprising a first and a second computing device is disclosed. The first computing device, comprising at least one processor, is configured to obtain, from a second computing device, data related to power consumption by at least a first electrical device located in a first region of a plurality of regions, and classify the first region, based at least in part on the obtained data, into a first group of regions of a plurality of groups of regions. The second computing device, comprising at least another processor, is configured to transmit, to the first computing device, the data related to power consumption by at least the first electrical device, and receive, from the first computing device information related to power consumption by a second electrical device located in a second region, wherein the second region is in the first group of regions.

摘要翻译： 在一些实施例中，公开了包括第一和第二计算设备的系统。 包括至少一个处理器的第一计算设备被配置为从第二计算设备获得与位于多个区域的第一区域中的至少第一电气设备相关的功耗的数据，并且将第一区域 至少部分地基于所获得的数据，转换成多组区域的第一组区域。 包括至少另一个处理器的第二计算设备经配置以向至少第一电气设备向第一计算设备发送与功耗有关的数据，并且从第一计算设备接收与功率消耗相关的信息， 位于第二区域中的第二电气设备，其中所述第二区域处于所述第一组区域中。

公开(公告)号：USRE43873E1

公开(公告)日：2012-12-25

申请号：US13208123

申请日：2011-08-11

申请人： Kenichi Hidai ,  Kohtaro Sabe ,  Kenta Kawamoto

发明人： Kenichi Hidai ,  Kohtaro Sabe ,  Kenta Kawamoto

IPC分类号： G06K9/62 ,  G06K9/00

CPC分类号： G06K9/6282 ,  G06K9/00248 ,  G06K9/6256

摘要： An object detecting device for detecting an object in a given gradation image. A scaling section generates scaled images by scaling down a gradation image input from an image output section. A scanning section sequentially manipulates the scaled images and cutting out window images from them and a discriminator judges if each window image is an object or not. The discriminator includes a plurality of weak discriminators that are learned in a group by boosting and an adder for making a weighted majority decision from the outputs of the weak discriminators. Each of the weak discriminators outputs an estimate of the likelihood of a window image to be an object or not by using the difference of the luminance values between two pixels. The discriminator suspends the operation of computing estimates for a window image that is judged to be a non-object, using a threshold value that is learned in advance.

摘要翻译： 一种用于检测给定灰度图像中的物体的物体检测装置。 缩放部分通过缩小从图像输出部分输入的灰度图像来生成缩放图像。 扫描部分顺序地操纵缩放图像并从中切出窗口图像，并且鉴别器判断每个窗口图像是否是对象。 鉴别器包括通过升压在一组中学习的多个弱识别器和用于从弱识别器的输出进行加权多数决定的加法器。 每个弱识别器通过使用两个像素之间的亮度值的差异来输出窗口图像成为对象的可能性的估计。 鉴别器使用预先学习的阈值暂停对被判断为非对象的窗口图像的计算估计的操作。

公开(公告)号：US08290885B2

公开(公告)日：2012-10-16

申请号：US12381499

申请日：2009-03-12

申请人： Kohtaro Sabe ,  Katsuki Minamino ,  Kenta Kawamoto ,  Hirotaka Suzuki ,  Kenichi Hidai

发明人： Kohtaro Sabe ,  Katsuki Minamino ,  Kenta Kawamoto ,  Hirotaka Suzuki ,  Kenichi Hidai

IPC分类号： G06F17/00 ,  G06N5/00

CPC分类号： G05B19/045 ,  G05B13/0265 ,  G05B2219/23288 ,  G06N99/005

摘要： An information processing apparatus includes: model learning means for self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor; and controller learning means for performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the internal state self-organized by the model learning means.

摘要翻译： 信息处理装置包括：用于自组织的模型学习装置，基于具有通过使用时间序列数据作为时间序列数据而被学习的状态和状态转变的状态转换模型，从获得的观察信号获得的内部状态 通过传感器; 以及控制器学习装置，用于在指示由模型学习装置自组织的内部状态的状态转换模型中执行学习以分配向控制器输出动作的状态或转换目的地状态中的每一个的转换。

公开(公告)号：US07953683B2

公开(公告)日：2011-05-31

申请号：US11732773

申请日：2007-04-04

申请人： Katsuki Minamino ,  Masato Ito ,  Kenta Kawamoto ,  Yukiko Yoshiike ,  Hirotaka Suzuki

发明人： Katsuki Minamino ,  Masato Ito ,  Kenta Kawamoto ,  Yukiko Yoshiike ,  Hirotaka Suzuki

IPC分类号： G06F15/18 ,  G06N3/08

CPC分类号： G06N99/005 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/084

摘要： A learning apparatus includes a storage unit configured to store a network formed by a plurality of nodes each holding dynamics; a learning unit configured to learn the dynamics of the network in a self-organizing manner on the basis of observed time-series data; a winner-node determiner configured to determine a winner node, the winner node being a node having dynamics that best match the time-series data; and a weight determiner configured to determine learning weights for the dynamics held by the individual nodes according to distances of the individual nodes from the winner node. The learning unit is configured to learn the dynamics of the network in a self-organizing manner by degrees corresponding to the learning weights.

摘要翻译： 学习装置包括：存储单元，被配置为存储由保持动态的多个节点形成的网络; 学习单元，被配置为基于观察到的时间序列数据以自组织的方式学习网络的动态; 获胜者节点确定器，被配置为确定胜者节点，胜者节点是具有与时间序列数据最佳匹配的动态的节点; 以及权重确定器，被配置为根据各个节点与胜利者节点的距离来确定由各个节点保持的动态的学习权重。 学习单元被配置为以自组织的方式以对应于学习权重的度学习网络的动态。

公开(公告)号：US20090150317A1

公开(公告)日：2009-06-11

申请号：US12315100

申请日：2008-11-26

申请人： Katsuki Minamino ,  Hideki Shimomura ,  Jun Yokono ,  Kenta Kawamoto

发明人： Katsuki Minamino ,  Hideki Shimomura ,  Jun Yokono ,  Kenta Kawamoto

IPC分类号： G06N5/02

CPC分类号： B25J9/1602 ,  G05B2219/33051

摘要： An information processing apparatus includes a target storage means, a control means, a decision means, a prediction means and a generating means, in which the decision means, when determining that the system state makes a transition to a state represented by the target value in accordance with the output of the time series of motor signals generated by the generating means, updates a parameter representing the relationship between input and output, which is used by the control means for controlling the system based on the time series of motor signals generated by the generating means and a time series of sensor signals observed in accordance with the output of the time series of motor signals.

摘要翻译： 信息处理装置包括目标存储装置，控制装置，判定装置，预测装置和产生装置，其中当确定系统状态转变为由目标值表示的状态时，判定装置 根据由发生装置产生的电机信号的时间序列的输出，更新表示输入和输出之间的关系的参数，该参数由用于控制系统的控制装置使用，该控制装置基于由 根据电机信号的时间序列的输出观察的发生装置和时间序列的传感器信号。

公开(公告)号：US20070185825A1

公开(公告)日：2007-08-09

申请号：US11699428

申请日：2007-01-30

申请人： Masato Ito ,  Katsuki Minamino ,  Yukiko Yoshiike ,  Hirotaka Suzuki ,  Kenta Kawamoto

发明人： Masato Ito ,  Katsuki Minamino ,  Yukiko Yoshiike ,  Hirotaka Suzuki ,  Kenta Kawamoto

IPC分类号： G06N3/00

CPC分类号： G06K9/00536 ,  G06K9/00335 ,  G06N3/0445 ,  G06N99/005

摘要： A learning system is provided, which includes network storage means for storing a network including a plurality of nodes, each of which holds a dynamics; and learning means for self-organizationally updating the dynamics of the network on the basis of measured time-series data.

摘要翻译： 提供了一种学习系统，其包括用于存储包括多个节点的网络的网络存储装置，每个节点保持动态; 以及基于测量的时间序列数据自组织地更新网络动态的学习手段。

公开(公告)号：US07251606B2

公开(公告)日：2007-07-31

申请号：US10296403

申请日：2002-03-26

申请人： Rika Horinaka ,  Masahiro Fujita ,  Atsushi Okubo ,  Kenta Kawamoto ,  Gabriel Costa ,  Masaki Fukuchi ,  Osamu Hanagata ,  Kotaro Sabe

发明人： Rika Horinaka ,  Masahiro Fujita ,  Atsushi Okubo ,  Kenta Kawamoto ,  Gabriel Costa ,  Masaki Fukuchi ,  Osamu Hanagata ,  Kotaro Sabe

IPC分类号： G10L15/22

CPC分类号： G06N3/008 ,  B25J13/003 ,  G10L15/22 ,  G10L17/26

摘要： Sentences corresponding to internal statuses of a robot device or the like are created and uttered, thereby expressing the internal statuses. The robot device or the like comprise means for recognizing an external status, and means for generating an emotion based on the internals status, whereby a change in the emotion is reflected upon a dialogue. The internal status is not associated with a sentence, but it exists independently of the system and is always varied depending on various external inputs and internal changes of the system. Accordingly, even when the same question is made on the robot device or the like, the contents of a reply are changed depending on the internal status at that time, and a manner of providing a reply also differs depending on the internal status.

摘要翻译： 创建并发出对应于机器人装置等的内部状态的句子，从而表示内部状态。 机器人装置等包括用于识别外部状态的装置，以及用于基于内部状态产生情绪的装置，由此在对话中反映情绪的改变。 内部状态与句子不相关，但它与系统无关，并且总是根据系统的各种外部输入和内部变化而变化。 因此，即使在机器人装置等上进行同样的问题时，答复的内容根据当时的内部状态而变化，提供答复的方式也根据内部状态而不同。

公开(公告)号：US07216082B2

公开(公告)日：2007-05-08

申请号：US10296269

申请日：2002-03-26

申请人： Atsushi Okubo ,  Gabriel Costa ,  Kenta Kawamoto ,  Rika Horinaka ,  Masaki Fukuchi ,  Masahiro Fujita

发明人： Atsushi Okubo ,  Gabriel Costa ,  Kenta Kawamoto ,  Rika Horinaka ,  Masaki Fukuchi ,  Masahiro Fujita

IPC分类号： G10L15/22

CPC分类号： B25J13/003 ,  G10L15/26 ,  G10L2015/088 ,  G10L2015/223

摘要： A robot system includes a speech recognition unit for converting speech information into text information, and a database retrieval unit for extracting a keyword included in the text information from a database. By designating a plurality of basic actions on a speech basis, and storing an action record, a combined action formed by combining the plurality of basic actions in time-series order can be named as a new action only in voice-based interaction. A user can designate complicated continuous actions by using only one word, and can easily have a conversation with the robot.

摘要翻译： 机器人系统包括用于将语音信息转换为文本信息的语音识别单元，以及用于从数据库中提取包含在文本信息中的关键字的数据库检索单元。 通过在语音基础上指定多个基本动作，并且存储动作记录，通过以时间序列顺序组合多个基本动作形成的组合动作可以仅在基于语音的交互中被命名为新动作。 用户可以通过仅使用一个字来指定复杂的连续动作，并且可以容易地与机器人通话。

公开(公告)号：US20050280809A1

公开(公告)日：2005-12-22

申请号：US10994942

申请日：2004-11-22

申请人： Kenichi Hidai ,  Kohtaro Sabe ,  Kenta Kawamoto

发明人： Kenichi Hidai ,  Kohtaro Sabe ,  Kenta Kawamoto

IPC分类号： G06T1/00 ,  G06K9/00 ,  G06K9/62 ,  G06K9/68 ,  G06N3/08 ,  G06T7/00 ,  G01N21/00

CPC分类号： G06K9/6282 ,  G06K9/00248 ,  G06K9/6256

摘要： An object detecting device 1 comprises a scaling section 3 for generating scaled images by scaling down a gradation image input from an image output section 2, a scanning section 4 for sequentially manipulating the scaled images and cutting out window images from them and a discriminator 5 for judging if each window image is an object or not. The discriminator 5 includes a plurality of weak discriminators that are learnt in a group by boosting and an adder for making a weighted majority decision from the outputs of the weak discriminators. Each of the weak discriminators outputs an estimate telling the likelihood of a window image to be an object or not by using the difference of the luminance values of two pixels. The discriminator 5 suspends the operation of computing estimates for a window image that is judged to be a non-object, using a threshold value that is learnt in advance.

摘要翻译： 对象检测装置1包括：缩放部分3，用于通过缩小从图像输出部分2输入的灰度图像来生成缩放图像;扫描部分4，用于顺序地操纵缩放图像并从中切出窗口图像;以及鉴别器5， 判断每个窗口图像是否为一个对象。 鉴别器5包括通过升压在一组中学习的多个弱识别器和用于从弱识别器的输出进行加权多数决定的加法器。 每个弱识别器通过使用两个像素的亮度值的差异来输出估计窗口图像成为对象的可能性的估计。 鉴别器5使用预先学习的阈值来暂停对被判断为非对象的窗口图像的计算估计的操作。