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    • 3. 发明申请
    • Information Processing Apparatus, Information Processing Method, and Computer Program
    • 信息处理装置,信息处理方法和计算机程序
    • US20100312561A1
    • 2010-12-09
    • US12745464
    • 2008-12-04
    • Ugo Di Profio
    • Ugo Di Profio
    • G10L15/14
    • G10L15/22G10L15/14G10L2015/223
    • An apparatus and a method for performing a grounding process using the POMDP are provided. The configuration is designed so that, in order to understand a request from a user through the utterances from the user, a grounding process is performed using the POMDP (Partially Observable Markov Decision Process) in which analysis information acquired from a language analyzing unit that receives the utterances of the user and performs language analysis and pragmatic information including task feasibility information acquired from the task manager that performs a task are set as observation information. Accordingly, understanding can be efficiently achieved, and high-speed and accurate recognition of the user request and task execution based on the user request can be provided.
    • 提供了使用POMDP执行接地处理的装置和方法。 该配置被设计成为了通过用户的话语来理解来自用户的请求,使用从接收到的语音分析单元获取的分析信息的POMDP(部分可观察马尔科夫决定过程)来执行接地处理 用户的话语和语言分析,包括从执行任务的任务管理器获取的任务可行性信息的实用信息被设置为观察信息。 因此,可以有效地实现理解,并且可以提供基于用户请求的用户请求和任务执行的高速和准确的识别。
    • 5. 发明授权
    • Information processing apparatus, information processing method and computer program
    • 信息处理装置,信息处理方法和计算机程序
    • US08095493B2
    • 2012-01-10
    • US12011754
    • 2008-01-29
    • Ugo Di Profio
    • Ugo Di Profio
    • G06N5/00
    • G06N7/005
    • An information processing apparatus that constructs an information analysis processing configuration to be applied to information analysis processing in a target area including uncertainty is disclosed. The apparatus includes a data processing section that performs processing of automatically creating a Partially Observable Markov Decision Process (POMDP) model from the input of attribute data including attribute information and an attribute value, and a rule storage section storing a rule to be applied to processing of creating a Partially Observable Markov Decision Process (POMDP) in the data processing section, wherein the data processing section is configured to create a Partially Observable Markov Decision Process (POMDP) model by performing, as an action, processing of creating and outputting a question based on the attribute data, obtaining the answer to the question as observation information, and performing processing of creating probability distribution information corresponding to an object based on the obtained observation information.
    • 公开了一种构成信息分析处理结构的信息处理装置,其应用于包括不确定性的目标区域中的信息分析处理。 该装置包括数据处理部,其从包括属性信息和属性值的属性数据的输入中执行自动创建部分可观察马尔科夫决定过程(POMDP)模型的处理,以及存储要应用于处理的规则的规则存储部 在所述数据处理部分中创建部分可观察的马尔科夫决定过程(POMDP),其中所述数据处理部分被配置为通过执行创建和输出问题的处理来创建部分可观察的马尔科夫决定过程(POMDP)模型 基于属性数据,获得作为观察信息的问题的答案,并且基于获得的观察信息执行与对象相对应的概率分布信息的处理。
    • 6. 发明授权
    • Partially observable markov decision process including combined bayesian networks into a synthesized bayesian network for information processing
    • 部分可观察的马尔可夫决策过程包括将贝叶斯网络组合成用于信息处理的合成贝叶斯网络
    • US07882047B2
    • 2011-02-01
    • US11759083
    • 2007-06-06
    • Ugo Di Profio
    • Ugo Di Profio
    • G06F15/18
    • G06N7/005
    • Disclosed herein is an information-processing apparatus for constructing an information analysis processing configuration to be applied to information analysis processing in an observation domain including an uncertainty. The information-processing apparatus includes a data processing unit for: taking a Partially Observable Markov Decision Process as a basic configuration; taking each of elements included in every information space defined in the Partially Observable Markov Decision Process as a unit; analyzing relations between the elements; and constructing an Factored Partially Observable Markov Decision Process, which is a Partially Observable Markov Decision Process including the relations between the elements, on the basis of results of the analysis.
    • 这里公开了一种信息处理装置,用于构建要应用于包括不确定性的观察域中的信息分析处理的信息分析处理配置。 信息处理装置包括:数据处理单元,用于:将部分可观测的马尔科夫决定过程作为基本配置; 将“部分可观测马尔科夫决定过程”中定义的每个信息空间中包含的每个元素作为一个单位; 分析元素之间的关系; 并根据分析结果,构建了一个部分可观察的马尔可夫决策过程,该过程是一个部分可观察的马尔可夫决策过程,包括元素之间的关系。
    • 8. 发明申请
    • INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND COMPUTER PROGRAM
    • 信息处理设备,信息处理方法和计算机程序
    • US20080133436A1
    • 2008-06-05
    • US11759083
    • 2007-06-06
    • Ugo Di Profio
    • Ugo Di Profio
    • G06F15/18
    • G06N7/005
    • Disclosed herein is an information-processing apparatus for constructing an information analysis processing configuration to be applied to information analysis processing in an observation domain including an uncertainty. The information-processing apparatus includes a data processing unit for: taking a Partially Observable Markov Decision Process as a basic configuration; taking each of elements included in every information space defined in the Partially Observable Markov Decision Process as a unit; analyzing relations between the elements; and constructing an Factored Partially Observable Markov Decision Process, which is a Partially Observable Markov Decision Process including the relations between the elements, on the basis of results of the analysis.
    • 这里公开了一种信息处理装置,用于构建要应用于包括不确定性的观察域中的信息分析处理的信息分析处理配置。 信息处理装置包括:数据处理单元,用于:将部分可观测的马尔科夫决定过程作为基本配置; 将“部分可观测马尔科夫决定过程”中定义的每个信息空间中包含的每个元素作为一个单位; 分析元素之间的关系; 并根据分析结果,构建了一个部分可观察的马尔可夫决策过程,该过程是一个部分可观察的马尔可夫决策过程,包括元素之间的关系。
    • 9. 发明授权
    • Robot apparatus, and behavior controlling method for robot apparatus
    • 机器人装置和机器人装置的行为控制方法
    • US07103447B2
    • 2006-09-05
    • US10651577
    • 2003-08-29
    • Ugo Di ProfioMasahiro FujitaTsuyoshi TakagiYukiko YoshiikeHideki Shimomura
    • Ugo Di ProfioMasahiro FujitaTsuyoshi TakagiYukiko YoshiikeHideki Shimomura
    • G06F19/00
    • G06N3/008
    • A robot (1) is provided which includes a situated behaviors layer (SBL) (58). This SBL (58) is formed in the form of a tree structure in which a plurality of schemata (behavior modules) is connected hierarchically in such a matter that the schemata are highly independent of each other for each of them to behave uniquely. A patent schema can define a pattern in which child schemata are connected, such as an OR type pattern in which the child schemata are caused to behave uniquely, AND type pattern in which the plurality of child schemata are caused to behave simultaneously or a SEQUENCE type pattern indicating a sequence in which the plurality of child schemata should behave, thereby permitting to select a behavior pattern of the robot (1). Also, a new child schema can additionally be included in the SBL (58) without having to rewrite the schemata connection in the tree structure, whereby a new behavior or function can be added to the robot (1). Namely, the plurality of behavior modules permits to enable the robot (1) to show a complicated behavior and have units thereof recombined.
    • 提供了一种包括位置行为层(SBL)(58)的机器人(1)。 该SBL(58)形成为树结构的形式,其中多个模式(行为模块)在层级上连接,使得模式对于它们中的每一个独立地彼此高度独立。 专利模式可以定义连接子模式的模式,例如使子模式在其中被执行为唯一的OR类型模式,以及使多个子模式被同时行为的类型模式或SEQUENCE类型 模式,其指示多个子图案应该行为的顺序,从而允许选择机器人(1)的行为模式。 另外,SBL(58)中还可以包括新的子模式,而不需要重写树形结构中的模式连接,从而可以向机器人(1)添加新的行为或功能。 也就是说,多个行为模块允许机器人(1)显示复杂的行为并且其单元重新组合。