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：US06546032B1

公开(公告)日：2003-04-08

申请号：US09644080

申请日：2000-08-23

申请人： Yasuo Oeda ,  Satoru Okada ,  Kouichi Igarashi ,  Yumi Naito ,  Kiyofumi Muro ,  Takeshi Koiso ,  Yoshikazu Yamada ,  Atsushi Okubo ,  Tsuyoshi Fujimoto

发明人： Yasuo Oeda ,  Satoru Okada ,  Kouichi Igarashi ,  Yumi Naito ,  Kiyofumi Muro ,  Takeshi Koiso ,  Yoshikazu Yamada ,  Atsushi Okubo ,  Tsuyoshi Fujimoto

IPC分类号： H01S500

CPC分类号： B82Y20/00 ,  H01S5/20 ,  H01S5/2004 ,  H01S5/2009 ,  H01S5/34313 ,  H01S5/34353

摘要： On a substrate of n-type GaAs are sequentially formed an n-type cladding layer (AlGaAs, Al content x=0.07, thickness t=2.86 &mgr;m), an n-type optical waveguide layer (GaAs, t=0.49 &mgr;m), an n-type carrier blocking layer (AlGaAs, x=0.40, t=0.03 &mgr;m), an active layer (composed of an In0.18Ga0.82As quantum well layer and a GaAs barrier layer), a p-type carrier blocking layer (AlGaAs, x=0.40, t=0.03 &mgr;m), a p-type optical waveguide layer (GaAs, t=0.49 &mgr;m), a p-type cladding layer (AlGaAs, x=0.20, t=1.08 &mgr;m), and a p-type cap layer (GaAs) in which a pair of n-type current blocking layers (GaAs) are buried. With this construction, the occurrence of a wavelength spit due to a higher-order mode can be inhibited thereby stabilizing a higher power operation.

摘要翻译： 在n型GaAs衬底上依次形成n型覆层（AlGaAs，Al含量x = 0.07，厚度t =2.86μm），n型光波导层（GaAs，t =0.49μm）， n型载流子阻挡层（AlGaAs，x = 0.40，t =0.03μm），有源层（由In0.18Ga0.82As量子阱层和GaAs势垒层构成），p型载流子阻挡层（AlGaAs ，p型光波导层（GaAs，t =0.49μm），p型覆层（AlGaAs，x = 0.20，t =1.08μm），p型光波导层 封装了一对n型电流阻挡层（GaAs）的封装层（GaAs）。 利用这种结构，可以抑制由高阶模式引起的波长吐出的发生，从而稳定高功率操作。

公开(公告)号：US06171878B2

公开(公告)日：2001-01-09

申请号：US09157246

申请日：1998-09-18

申请人： Tsuyoshi Fujimoto ,  Yumi Naito ,  Atsushi Okubo ,  Yoshikazu Yamada

发明人： Tsuyoshi Fujimoto ,  Yumi Naito ,  Atsushi Okubo ,  Yoshikazu Yamada

IPC分类号： H01S302

CPC分类号： H01S5/2231 ,  B82Y20/00 ,  H01S5/2077 ,  H01S5/2206 ,  H01S5/34313 ,  H01S5/3432 ,  H01S2304/00

摘要： In a self-aligned structure semiconductor laser in which a pair of optical guide layers are respectively formed on both faces of an active layer, the optical guide layers having a bandgap which is wider than that of the active layer, a pair of cladding layers are formed so as to sandwich the active layer and the optical guide layers, the cladding layers having a bandgap which is wider than bandgap of the optical guide layers, a pair of carrier blocking layers are respectively formed between the active layer and the optical guide layers, the carrier blocking layers having a bandgap which is wider than bandgaps of the active layer and the optical guide layers, and a current blocking layer having a stripe-like window is embedded in at least one of the optical guide layers, the current blocking layer is formed by selective growth. In this way, a window of a current blocking layer can be accurately formed and the fabrication yield can be improved while avoiding maleffects on other layers.

摘要翻译： 在其中在有源层的两个表面上分别形成一对导光层的自对准结构半导体激光器中，具有比有源层宽的带隙的导光层，一对包覆层是 形成为夹持有源层和导光层，包层具有比导光层的带隙宽的带隙，在有源层和导光层之间分别形成一对载流子阻挡层， 具有比有源层和导光层的带隙宽的带隙的载流子阻挡层和具有条状窗口的电流阻挡层嵌入到至少一个导光层中，电流阻挡层是 通过选择性生长形成。以这种方式，可以精确地形成电流阻挡层的窗口，并且可以提高制造产率，同时避免对其他层的不良影响。

公开(公告)号：US4833267A

公开(公告)日：1989-05-23

申请号：US193523

申请日：1988-03-09

申请人： Sumio Nakashima ,  Hideki Sogabe ,  Hiroshi Yoshida ,  Atsushi Okubo

发明人： Sumio Nakashima ,  Hideki Sogabe ,  Hiroshi Yoshida ,  Atsushi Okubo

IPC分类号： C07B61/00 ,  C07C67/08 ,  C07C69/54

CPC分类号： C07C67/08

摘要： This invention relates to a method for the production of unsaturated carboxylic acid esters. More particularly, this invention relates to a method for efficient production of a corresponding ester from an acrylic acid or methacrylic acid (hereinafter referred to collectively as "(meth)acrylic acid") by the reaction of the (meth)acrylic acid with an aliphatic alcohol of 1 to 12 carbon atoms in the presence of a strongly acidic cation-exchange resin catalyst.

公开(公告)号：US08644556B2

公开(公告)日：2014-02-04

申请号：US13276400

申请日：2011-10-19

申请人： Ning Zhou ,  Atsushi Okubo

发明人： Ning Zhou ,  Atsushi Okubo

IPC分类号： G06K9/00 ,  H04N5/225

CPC分类号： G06K9/00355 ,  G06F3/017 ,  G06K2009/3291

摘要： An image processing apparatus includes an image input configured to receive image data, a target extraction device configured to extract an object from the image data as a target object based on recognizing a first movement by the object, and a gesture recognition device configured to issue a command based on recognizing a second movement by the target object.

摘要翻译： 一种图像处理装置，包括被配置为接收图像数据的图像输入，目标提取装置，被配置为基于识别对象的第一移动，从作为目标对象的图像数据中提取对象;以及手势识别装置， 基于识别目标对象的第二移动的命令。

公开(公告)号：US20120128255A1

公开(公告)日：2012-05-24

申请号：US13275543

申请日：2011-10-18

申请人： Kazumi Aoyama ,  Katsuki Minamino ,  Atsushi Okubo

发明人： Kazumi Aoyama ,  Katsuki Minamino ,  Atsushi Okubo

IPC分类号： G06K9/46

CPC分类号： G06K9/00228 ,  G06K9/00362

摘要： The present disclosure provides a part detection apparatus including, a part detection block configured to detect a location of a plurality of parts making up a subject from an input image, and a part-in-attention estimation block configured, if a location of a part in attention has not been detected by the part detection block, to estimate the location of a part in attention on the basis of the location of a part detected by the part detection block and information about a locational relation with the detected location of a part being used as reference.

摘要翻译： 本公开提供了一种部件检测装置，包括：部件检测块，其被配置为从输入图像检测构成被摄体的多个部位的位置，以及配置的部分注意力估计块，如果部件的位置 在零件检测块尚未检测到注意的情况下，基于由零件检测块检测到的零件的位置以及与检测到的零件的位置有关的位置关系的信息来估计零件的注意位置 用作参考。

公开(公告)号：US20100329544A1

公开(公告)日：2010-12-30

申请号：US12816779

申请日：2010-06-16

申请人： Kohtaro Sabe ,  Atsushi Okubo ,  Kenichi Hidai

发明人： Kohtaro Sabe ,  Atsushi Okubo ,  Kenichi Hidai

IPC分类号： G06K9/62

CPC分类号： G06K9/6256 ,  G06K9/00288 ,  G06K9/4614

摘要： An information processing apparatus includes the following elements. A learning unit is configured to perform Adaptive Boosting Error Correcting Output Coding learning using image feature values of a plurality of sample images each being assigned a class label to generate a multi-class classifier configured to output a multi-dimensional score vector corresponding to an input image. A registration unit is configured to input a register image to the multi-class classifier, and to register a multi-dimensional score vector corresponding to the input register image in association with identification information about the register image. A determination unit is configured to input an identification image to be identified to the multi-class classifier, and to determine a similarity between a multi-dimensional score vector corresponding to the input identification image and the registered multi-dimensional score vector corresponding to the register image.

摘要翻译： 信息处理装置包括以下要素。 学习单元被配置为使用多个样本图像的图像特征值来执行自适应提升误差校正输出编码学习，每个样本图像被分配类别标签，以生成被配置为输出与输入相对应的多维得分向量的多类分类器 图片。 注册单元被配置为将注册图像输入到多类分类器，并且与关于注册图像的识别信息相关联地注册与输入注册图像相对应的多维分数向量。 确定单元被配置为将要识别的识别图像输入到多类分类器，并且确定与输入的标识图像相对应的多维得分向量与对应于寄存器的登记的多维得分向量之间的相似度 图片。

公开(公告)号：US20090060290A1

公开(公告)日：2009-03-05

申请号：US12191610

申请日：2008-08-14

申请人： Kohtaro SABE ,  Atsushi Okubo ,  Jun Yokono

发明人： Kohtaro SABE ,  Atsushi Okubo ,  Jun Yokono

IPC分类号： G06K9/00

CPC分类号： G06K9/00248

摘要： A face image processing apparatus selects feature points and feature for identifying a person through statistical learning. The apparatus includes input means for inputting a face image detected by arbitrary face detection means, face parts detection means for detecting the positions of face parts in several locations from the input face image, face pose estimation means for estimating face pose based on the detected positions of face parts, feature point position correcting means for correcting the position of each feature point used for identifying the person based on the result of estimation of face pose by the face pose estimation means, and face identifying means for identifying the person by calculating a feature of the input face image at each feature point after position correction is performed by the feature point position correcting means and checking the feature against a feature of a registered face.

摘要翻译： 面部图像处理装置通过统计学习选择特征点和特征来识别人。 该装置包括用于输入由任意面部检测装置检测到的面部图像的输入装置，用于从输入面部图像检测几个位置中的面部部分的位置的面部部位检测装置，基于检测位置估计面部姿势的面部姿势估计装置 特征点位置校正装置，用于根据面部姿势估计装置的面部姿势的估计结果校正用于识别人的每个特征点的位置，以及面部识别装置，用于通过计算特征来识别人物 通过特征点位置校正装置执行位置校正之后的每个特征点处的输入面部图像，并针对登记面部的特征检查特征。

公开(公告)号：US20080137917A1

公开(公告)日：2008-06-12

申请号：US11951437

申请日：2007-12-06

申请人： Atsushi OKUBO ,  Jun Yokono

发明人： Atsushi OKUBO ,  Jun Yokono

IPC分类号： G06K9/00

CPC分类号： G06K9/00268 ,  G06K9/6231 ,  G06K9/6234

摘要： The present invention provides an information processing apparatus including combination generating means for getting a first feature quantity of N dimensions, N being an integer of at least two, from first information prepared for execution of learning and use the first feature quantity of N dimensions to generate at least two of a first feature quantity combination that are not greater than N dimensions of the first feature quantity; and learning processing executing means for computing a correlation coefficient between the plurality of first feature quantity combinations generated by the combination generating means and a learning model feature quantity matching each dimension of the plurality of first feature quantity combinations and, by use of the first correlation coefficient, classify the first information, thereby executing learning processing for classifying predetermined second information.

摘要翻译： 本发明提供了一种信息处理装置，包括从用于执行学习的第一信息获得N维的第一特征量N，至少为2的整数的组合生成装置，并且使用N维的第一特征量来生成 不大于第一特征量的N维的第一特征量组合中的至少两个; 以及学习处理执行装置，用于计算由组合生成装置生成的多个第一特征量组合和与多个第一特征量组合中的每个维度相匹配的学习模型特征量之间的相关系数，并且通过使用第一相关系数 对第一信息进行分类，从而执行用于对预定的第二信息进行分类的学习处理。