Information processing apparatus, information processing method, and program
    1.
    发明授权
    Information processing apparatus, information processing method, and program 有权
    信息处理装置,信息处理方法和程序

    公开(公告)号:US08381238B2

    公开(公告)日:2013-02-19

    申请号:US13114581

    申请日:2011-05-24

    IPC分类号: H04N21/258 G06F3/048 A63F9/24

    摘要: An information processing apparatus includes an image analyzing unit performing a process of analyzing an image shot by a camera, a voice analyzing unit performing a process of analyzing voice input from a microphone, and a data processing unit receiving inputs of an analysis result of the image analyzing unit and an analysis result of the voice analyzing unit and controlling information to be output to a user. The data processing unit determines an output mode of the information to be provided to the user based on user information obtained from at least either one of the image analysis result and the voice analysis result, and system state information, and outputs the information to the user in the determined output mode.

    摘要翻译: 一种信息处理设备,包括:图像分析单元,执行分析由相机拍摄的图像的处理;语音分析单元,执行分析从麦克风输入的语音的处理;以及数据处理单元,接收图像的分析结果的输入 分析单元和语音分析单元的分析结果,以及控制要输出给用户的信息。 数据处理单元基于从图像分析结果和语音分析结果和系统状态信息中的至少一个获得的用户信息和系统状态信息来确定要提供给用户的信息的输出模式,并将该信息输出给用户 在确定的输出模式。

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
    2.
    发明申请
    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM 有权
    信息处理设备,信息处理方法和程序

    公开(公告)号:US20120096481A1

    公开(公告)日:2012-04-19

    申请号:US13114581

    申请日:2011-05-24

    IPC分类号: H04N21/24

    摘要: An information processing apparatus includes an image analyzing unit performing a process of analyzing an image shot by a camera, a voice analyzing unit performing a process of analyzing voice input from a microphone, and a data processing unit receiving inputs of an analysis result of the image analyzing unit and an analysis result of the voice analyzing unit and controlling information to be output to a user. The data processing unit determines an output mode of the information to be provided to the user based on user information obtained from at least either one of the image analysis result and the voice analysis result, and system state information, and outputs the information to the user in the determined output mode.

    摘要翻译: 一种信息处理设备,包括:图像分析单元,执行分析由相机拍摄的图像的处理;语音分析单元,执行分析从麦克风输入的语音的处理;以及数据处理单元,接收图像的分析结果的输入 分析单元和语音分析单元的分析结果,以及控制要输出给用户的信息。 数据处理单元基于从图像分析结果和语音分析结果和系统状态信息中的至少一个获得的用户信息和系统状态信息来确定要提供给用户的信息的输出模式,并将该信息输出给用户 在确定的输出模式。

    ROBOT DEVICE, METHOD OF CONTROLLING ROBOT DEVICE, COMPUTER PROGRAM, AND PROGRAM STORAGE MEDIUM
    5.
    发明申请
    ROBOT DEVICE, METHOD OF CONTROLLING ROBOT DEVICE, COMPUTER PROGRAM, AND PROGRAM STORAGE MEDIUM 有权
    机器人装置,控制机器人装置的方法,计算机程序和程序存储介质

    公开(公告)号:US20140074292A1

    公开(公告)日:2014-03-13

    申请号:US14114333

    申请日:2012-04-16

    申请人: Tsutomu Sawada

    发明人: Tsutomu Sawada

    IPC分类号: B25J9/16 G06K9/00

    摘要: Provided is an excellent robot device capable of preferably detecting difference between dirt and a scratch on a lens of a camera and difference between dirt and a scratch on a hand.A robot device 100 detects a site in which there is the dirt or the scratch using an image of the hand taken by a camera 305 as a reference image. Further, this determines whether the detected dirt or scratch is due to the lens of the camera 305 or the hand by moving the hand. The robot device 100 performs cleaning work assuming that the dirt is detected, and then this detects the difference between the dirt and the scratch depending on whether the dirt is removed.

    摘要翻译: 提供了一种优良的机器人装置,其能够优选地检测相机的镜头上的污垢和划痕之间的差异以及手上的污垢和划痕之间的差异。 机器人装置100使用由照相机305拍摄的手的图像作为参考图像来检测存在污物或划痕的位置。 此外,这通过移动手腕来确定检测到的污物或划痕是否由于照相机305的透镜或手。 机器人装置100进行清洁工作,假设检测到污物,然后根据灰尘被去除来检测污垢和划痕之间的差异。

    Action evaluation apparatus and method
    6.
    发明授权
    Action evaluation apparatus and method 失效
    行动评估装置及方法

    公开(公告)号:US07523084B2

    公开(公告)日:2009-04-21

    申请号:US11472036

    申请日:2006-06-21

    申请人: Tsutomu Sawada

    发明人: Tsutomu Sawada

    IPC分类号: G06N5/00

    CPC分类号: G10L15/22

    摘要: An action evaluation apparatus evaluates a user's action corresponding to an action desired by a system, and determines the ongoing of a story using the evaluation result. The action evaluation apparatus includes a recognizer for recognizing the user's action through a plurality of modals, and an action evaluator for evaluating the user's action based on the recognition result of the respective modals obtained by the recognizer.

    摘要翻译: 动作评价装置对与系统所期望的动作相对应地对用户的动作进行评价,并使用评价结果来判定故事的正在进行。 动作评价装置包括:通过多个模态识别用户的动作的识别器,以及基于由识别器获得的各个模态的识别结果来评价用户动作的动作评价器。

    Robot device, method of controlling robot device, computer program, and program storage medium
    7.
    发明授权
    Robot device, method of controlling robot device, computer program, and program storage medium 有权
    机器人装置,机器人装置的控制方法,计算机程序和程序存储介质

    公开(公告)号:US09358690B2

    公开(公告)日:2016-06-07

    申请号:US14114333

    申请日:2012-04-16

    申请人: Tsutomu Sawada

    发明人: Tsutomu Sawada

    摘要: Provided is an excellent robot device capable of preferably detecting difference between dirt and a scratch on a lens of a camera and difference between dirt and a scratch on a hand.A robot device 100 detects a site in which there is the dirt or the scratch using an image of the hand taken by a camera 305 as a reference image. Further, this determines whether the detected dirt or scratch is due to the lens of the camera 305 or the hand by moving the hand. The robot device 100 performs cleaning work assuming that the dirt is detected, and then this detects the difference between the dirt and the scratch depending on whether the dirt is removed.

    摘要翻译: 提供了一种优良的机器人装置,其能够优选地检测相机的镜头上的污垢和划痕之间的差异,以及手上的污垢和划痕之间的差异。 机器人装置100使用由照相机305拍摄的手的图像作为参考图像来检测存在污物或划痕的位置。 此外,这通过移动手腕来确定检测到的污物或划痕是否由于照相机305的透镜或手。 机器人装置100进行清洁工作,假设检测到污物,然后根据灰尘被去除来检测污垢和划痕之间的差异。

    CONNECTOR
    9.
    发明申请
    CONNECTOR 有权
    连接器

    公开(公告)号:US20140187066A1

    公开(公告)日:2014-07-03

    申请号:US14119219

    申请日:2012-05-22

    IPC分类号: H01R13/453

    摘要: To provide a connector of which cover is easily opened even when the cover is firmly fixed to a housing due to freezing, and cannot be opened by only biasing force of a spring. A connector 1 includes: a housing 2; a cover 3 pivotally supported by the housing 2, and opening and closing openings 21a, 22a of the housing 2; and a lock 4 pivotally supported by the housing 2 and keeping the cover 3 covering the openings 21a, 22a by hooking on an edge 33 of the cover 3 covering the openings 21a, 22a. The lock 4 is provided with a base 40, a pushing claw 42, and a projection 43. The connector 1 is formed so that the edge 33 of the cover 3 positioned between the pushing claw 42 and the projection 43 is overlapped with a rotation track of the projection 43.

    摘要翻译: 为了提供即使当盖子由于冻结而牢固地固定到壳体时也能够容易地打开的连接器,并且不能仅通过弹簧的偏置力而打开。 连接器1包括:壳体2; 由壳体2枢转地支撑的盖3和壳体2的打开和关闭开口21a,22a; 以及由壳体2枢转地支撑并且通过钩住覆盖开口21a,22a的盖3的边缘33来保持覆盖开口21a,22a的盖3的锁4。 锁4设置有基部40,推爪42和突起43.连接器1形成为使得位于推爪42和突起43之间的盖3的边缘33与旋转轨道重叠 的突出部43。

    Learning apparatus and method
    10.
    发明申请
    Learning apparatus and method 失效
    学习设备和方法

    公开(公告)号:US20070250463A1

    公开(公告)日:2007-10-25

    申请号:US11787548

    申请日:2007-04-17

    申请人: Tsutomu Sawada

    发明人: Tsutomu Sawada

    IPC分类号: G06N3/12

    CPC分类号: G06N7/005

    摘要: A learning apparatus for building a network structure of a Bayesian network based on learning data. In the Bayesian network, a cause and effect relationship between plural nodes is represented by a directed graph. The learning apparatus includes storage means in which the learning data is stored; and learning means for building the network structure based on the learning data. The learning means prepares an initial population of individuals constituted by individuals each having a genotype in which orders between the nodes and cause and effect relationship have been stipulated, repeatedly performs processing for crossovers and/or mutations on the initial population of individuals based on a genetic algorithm, calculates an evaluated value of each of the individuals based on the learning data, searches for an optimum one of the individuals, and takes a phenotype of the optimum individual as the network structure.

    摘要翻译: 一种用于基于学习数据构建贝叶斯网络的网络结构的学习装置。 在贝叶斯网络中,多个节点之间的因果关系由有向图表示。 学习装置包括存储学习数据的存储装置; 以及基于学习数据构建网络结构的学习手段。 学习手段准备由具有基因型的个体构成的个体的初始种群,每个个体具有节点之间的顺序和因果关系的顺序,并基于遗传重复地对个体的初始种群进行交叉和/或突变的处理 算法,基于学习数据计算每个个体的评估值,搜索最佳个体之一,并将最佳个体的表型作为网络结构。