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21. 发明申请

US20100094786A1 Smoothed Sarsa: Reinforcement Learning for Robot Delivery Tasks 有权
标题翻译：平滑Sarsa：加强学习机器人传送任务
公开(公告)号：US20100094786A1
公开(公告)日：2010-04-15
申请号：US12578574
申请日：2009-10-13
申请人： Rakesh Gupta , Deepak Ramachandran
发明人： Rakesh Gupta , Deepak Ramachandran
IPC分类号： G06F15/18
CPC分类号： G06N99/005
摘要： The present invention provides a method for learning a policy used by a computing system to perform a task, such delivery of one or more objects by the computing system. During a first time interval, the computing system determines a first state, a first action and a first reward value. As the computing system determines different states, actions and reward values during subsequent time intervals, a state description identifying the current sate, the current action, the current reward and a predicted action is stored. Responsive to a variance of a stored state description falling below a threshold value, the stored state description is used to modify one or more weights in the policy associated with the first state.
摘要翻译：本发明提供了一种用于学习由计算系统用于执行任务的策略的方法，所述任务由计算系统传送一个或多个对象。在第一时间间隔期间，计算系统确定第一状态，第一动作和第一回报值。随着计算系统在随后的时间间隔期间确定不同的状态，动作和奖励值，存储识别当前状态，当前动作，当前奖励和预测动作的状态描述。响应于低于阈值的存储状态描述的方差，存储的状态描述用于修改与第一状态相关联的策略中的一个或多个权重。

22. 发明申请

US20090147994A1 TORO: TRACKING AND OBSERVING ROBOT 有权
标题翻译： TORO：跟踪和观察机器人
公开(公告)号：US20090147994A1
公开(公告)日：2009-06-11
申请号：US12249849
申请日：2008-10-10
申请人： Rakesh Gupta , Deepak Ramachandran
发明人： Rakesh Gupta , Deepak Ramachandran
IPC分类号： G06K9/00
CPC分类号： G06K9/00295 , G06T7/143 , G06T7/277 , G06T2207/10016
摘要： The present invention provides a method for tracking entities, such as people, in an environment over long time periods. A region-based model is generated to model beliefs about entity locations. Each region corresponds to a discrete area representing a location where an entity is likely to be found. Each region includes one or more positions which more precisely specify the location of an entity within the region so that the region defines a probability distribution of the entity residing at different positions within the region. A region-based particle filtering method is applied to entities within the regions so that the probability distribution of each region is updated to indicate the likelihood of the entity residing in a particular region as the entity moves.
摘要翻译：本发明提供了一种用于在长时间的环境中跟踪诸如人之类的实体的方法。生成基于区域的模型来模拟关于实体位置的信念。每个区域对应于表示实体可能被找到的位置的离散区域。每个区域包括一个或多个位置，其更精确地指定区域内的实体的位置，使得该区域定义驻留在区域内的不同位置的实体的概率分布。基于区域的粒子滤波方法被应用于区域内的实体，使得每个区域的概率分布被更新，以指示实体在实体移动时驻留在特定区域中的可能性。

23. 发明申请

US20080281972A1 SECURE SHARING OF LOB BOUND INFORMATION IN CLIENT APPLICATIONS 有权
标题翻译：在客户应用中安全地分享信息泄露信息
公开(公告)号：US20080281972A1
公开(公告)日：2008-11-13
申请号：US11746757
申请日：2007-05-10
申请人： Rakesh Gupta , Shyam Sundar J , Namendra Kumar , Burra Gopal
发明人： Rakesh Gupta , Shyam Sundar J , Namendra Kumar , Burra Gopal
IPC分类号： G06F15/16
CPC分类号： G06Q10/10
摘要： Secure sharing of bound information is enabled in client applications associated with a backend LOB service. Bound item IDs are assigned to newly created bound items by a client, the items synchronized with the LOB system, a correlation ID received in response to the synchronization, and the two IDs mapped. A reverse sequence of actions is performed when the LOB service creates the bound item. In response to an attempt by a client to exchange bound information, the item is placed in a pending state and allowed to be received by a receiver upon successful completion of data transfer and LOB system permission of the exchange passing the bound item ID and the correlation ID. If the LOB system rejects the exchange, the item is placed in an unbound state and the receiver not allowed to receive the bound information.
摘要翻译：在与后台LOB服务相关联的客户端应用程序中启用绑定信息的安全共享。绑定项目ID由客户端分配给新创建的绑定项目，与LOB系统同步的项目，响应于同步接收的相关ID和映射的两个ID。当LOB服务创建绑定的项目时，执行相反的动作序列。响应于客户端尝试交换绑定信息，该项目被置于待处理状态，并且在成功完成数据传输并允许通过绑定项目ID的交换机的LOB系统许可和相关性 ID。如果LOB系统拒绝交换，则该项目处于未绑定状态，并且接收方不允许接收绑定的信息。

24. 发明申请

US20080235072A1 ACHIEVING RECURRING ITEM RECORDINGS FROM CALENDARING APPLICATIONS OVER LOB SYSTEMS 有权
标题翻译：通过LOB系统的日历应用程序实现记录项目记录
公开(公告)号：US20080235072A1
公开(公告)日：2008-09-25
申请号：US11688312
申请日：2007-03-20
申请人： Rakesh Gupta , David Koronthaly , Burra Gopal , Rolando Jimenez Salgado , Shyam Sundar Jayshankar , Satish Kumar Chittamuru , Himesh Shah , Arvind Kumar Krishnan , Sushil Kumar , Sai Shankar , Ashish Kumar Singhal , Jagdish Singh
发明人： Rakesh Gupta , David Koronthaly , Burra Gopal , Rolando Jimenez Salgado , Shyam Sundar Jayshankar , Satish Kumar Chittamuru , Himesh Shah , Arvind Kumar Krishnan , Sushil Kumar , Sai Shankar , Ashish Kumar Singhal , Jagdish Singh
IPC分类号： G06F15/00
CPC分类号： G06Q10/109
摘要： Recurring appointment items in a calendaring application are synchronized and recorded in a backend Line Of Business (LOB) service. Items marked in the calendaring application for time recording are used to create a recurring bound item with extended properties. A sweeper module scans on every run the mailbox for such recurring bound items. Occurrences of bound recurring appointments, which occur between the last scan and the current scan are determined and detached from the corresponding recurring series such that standalone bound items are created for such occurrences that can be recognized by an LOB application. Entries for bound items are retrieved from a client data store and synchronized it with the backend LOB service through a create-, update-, or delete-operation request.
摘要翻译：日历应用程序中的重复预约项目将同步并记录在后端业务线（LOB）服务中。用于时间记录的日历应用程序中标记的项目用于创建具有扩展属性的循环绑定项。扫描器模块在每次运行邮箱时扫描此类重复绑定的项目。确定在最后一次扫描和当前扫描之间发生的绑定循环约会的出现，并从相应的循环序列中分离出来，以便为可由LOB应用程序识别的出现创建独立绑定项。从客户端数据存储中检索绑定项目的条目，并通过创建，更新或删除操作请求与后端的LOB服务进行同步。

25. 发明申请

US20070203863A1 Meta learning for question classification 有权
标题翻译：元分析问题分类
公开(公告)号：US20070203863A1
公开(公告)日：2007-08-30
申请号：US11410443
申请日：2006-04-24
申请人： Rakesh Gupta , Samarth Swarup
发明人： Rakesh Gupta , Samarth Swarup
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06N3/0454
摘要： A system and a method are disclosed for automatic question classification and answering. A multipart artificial neural network (ANN) comprising a main ANN and an auxiliary ANN classifies a received question according to one of a plurality of defined categories. Unlabeled data is received from a source, such as a plurality of human volunteers. The unlabeled data comprises additional questions that might be asked of an autonomous machine such as a humanoid robot, and is used to train the auxiliary ANN in an unsupervised mode. The unsupervised training can comprise multiple auxiliary tasks that generate labeled data from the unlabeled data, thereby learning an underlying structure. Once the auxiliary ANN has trained, the weights are frozen and transferred to the main ANN. The main ANN can then be trained using labeled questions. The original question to be answered is applied to the trained main ANN, which assigns one of the defined categories. The assigned category is used to map the original question to a database that most likely contains the appropriate answer. An object and/or a property within the original question can be identified and used to formulate a query, using, for example, system query language (SQL), to search for the answer within the chosen database. The invention makes efficient use of available information, and improves training time and error rate relative to use of single part ANNs.
摘要翻译：公开了一种用于自动问题分类和回答的系统和方法。包括主ANN和辅助ANN的多部分人造神经网络（ANN）根据多个定义的类别之一对接收到的问题进行分类。从诸如多个人类志愿者的来源接收未标记的数据。未标记的数据包括可能会询问诸如人形机器人的自主机器的另外的问题，并且用于以无监督的方式训练辅助ANN。无监督训练可以包括从未标记的数据生成标记数据的多个辅助任务，从而学习基础结构。辅助ANN训练后，重量被冻结并转移到主ANN。然后可以使用标记的问题来训练主要的ANN。要回答的原始问题适用于经过训练的主ANN，该ANN分配一个定义的类别。分配的类别用于将原始问题映射到最有可能包含适当答案的数据库。原始问题中的对象和/或属性可以被识别并用于使用例如系统查询语言（SQL）来制定查询来搜索所选择的数据库中的答案。本发明有效利用可用信息，并且相对于使用单一部件ANN而提高训练时间和错误率。

26. 发明申请

US20070179777A1 Automatic Grammar Generation Using Distributedly Collected Knowledge 有权
标题翻译：使用分布式收集知识的自动语法生成
公开(公告)号：US20070179777A1
公开(公告)日：2007-08-02
申请号：US11609683
申请日：2006-12-12
申请人： Rakesh Gupta , Ken Hennacy
发明人： Rakesh Gupta , Ken Hennacy
IPC分类号： G06F17/27
CPC分类号： G06F17/27
摘要： The invention includes a computer based system or method for automatically generating a grammar associated with a first task comprising the steps of: receiving first data representing the first task based from responses received from a distributed network; automatically tagging the first data into parts of speech to form first tagged data; identifying filler words and core words from said first tagged data; modeling sentence structure based upon said first tagged data using a first set of rules; identifying synonyms of said core words; and creating the grammar for the first task using said modeled sentence structure, first tagged data and said synonyms.
摘要翻译：本发明包括一种用于自动生成与第一任务相关联的语法的基于计算机的系统或方法，包括以下步骤：基于从分布式网络接收的响应来接收表示第一任务的第一数据; 自动地将第一数据标记成部分语音以形成第一标记数据; 从所述第一标记数据识别填充词和核心词; 基于使用第一组规则的所述第一标记数据的建模句子结构; 识别所述核心词的同义词; 并且使用所述建模的句子结构，第一标记数据和所述同义词来创建用于第一任务的语法。

27. 发明申请

US20060184491A1 Responding to situations using knowledge representation and inference 有权
标题翻译：响应使用知识表示和推理的情况
公开(公告)号：US20060184491A1
公开(公告)日：2006-08-17
申请号：US11046343
申请日：2005-01-28
申请人： Rakesh Gupta , Vasco Pedro
发明人： Rakesh Gupta , Vasco Pedro
IPC分类号： G06N5/02
CPC分类号： G06N5/04
摘要： A system, apparatus and application for providing robots with the ability to intelligently respond to perceived situations are described. A knowledge database is assembled automatically, based on distributed knowledge capture. The knowledge base embodies the “common sense,” that is, the consensus, of the subjects who contribute the knowledge. Systems are provided to automatically preprocess, or “clean” the information to make it more useful. The knowledge thus refined is utilized to construct a multidimensional semantic network, or MSN. The MSN provides a compact and efficient semantic representation suitable for extraction of knowledge for inference purposes and serves as the basis for task and response selection. When the robot perceives a situation that warrants a response, an appropriate subset of the MSN is extracted into a Bayes network. The resultant network is refined, and used to derive a set of response probabilities, which the robot uses to formulate a response.
摘要翻译：描述了一种用于向机器人提供智能响应感知情况的能力的系统，设备和应用。基于分布式知识捕获，自动组合知识数据库。知识库体现了贡献知识的科目的“常识”，即共识。提供系统以自动预处理或“清理”信息，使其更有用。这样精炼的知识被用来构建一个多维语义网络或MSN。 MSN提供了一种适用于推理目的的知识提取的紧凑有效的语义表示，并且作为任务和响应选择的基础。当机器人感知到需要响应的情况时，将MSN的适当子集提取到贝叶斯网络中。所得到的网络被改进，并且用于导出机器人用于制定响应的一组响应概率。

28. 发明授权

US09127950B2 Landmark-based location belief tracking for voice-controlled navigation system 有权
标题翻译：用于语音控制导航系统的地标位置信念跟踪
公开(公告)号：US09127950B2
公开(公告)日：2015-09-08
申请号：US13801441
申请日：2013-03-13
申请人： Antoine Raux , Rakesh Gupta , Deepak Ramachandran , Yi Ma
发明人： Antoine Raux , Rakesh Gupta , Deepak Ramachandran , Yi Ma
IPC分类号： G01C21/26 , G01C21/36
CPC分类号： G01C21/26 , G01C21/3608 , G01C21/3644
摘要： An utterance is received from a user specifying a location attribute and a landmark. A set of candidate locations is identified based on the specified location attribute, and a confidence score can be determined for each candidate location. A set of landmarks is identified based on the specified landmark, and confidence scores can be determined for the landmarks. An associated kernel model is generated for each landmark. Each kernel model is centered at the location of the associated landmark on a map, and the amplitude of the kernel model can be based on landmark attributes, landmark confidence scores, characteristics of the user, and the like. The candidate locations are ranked based on the amplitudes of overlapping kernel models at the candidate locations, and can also be ranked based on confidence scores associated with the candidate locations. A candidate location is selected and presented to the user based on the candidate location ranking.
摘要翻译：从指定位置属性和地标的用户接收到话语。基于指定的位置属性来识别一组候选位置，并且可以为每个候选位置确定可信度得分。基于指定的地标识别一组地标，并且可以为地标确定置信度得分。为每个地标生成相关的内核模型。每个核心模型集中在地图上相关联的地标的位置，并且内核模型的幅度可以基于地标属性，地标置信度得分，用户特征等。候选位置基于候选位置处的重叠核心模型的幅度进行排序，并且还可以基于与候选位置相关联的置信度得分进行排名。候选位置被选择并且基于候选位置排名呈现给用户。

29. 发明授权

US09090255B2 Hybrid vehicle fuel efficiency using inverse reinforcement learning 有权
标题翻译：混合动力汽车燃油效率采用反强化学习
公开(公告)号：US09090255B2
公开(公告)日：2015-07-28
申请号：US13838922
申请日：2013-03-15
申请人： Rakesh Gupta , Deepak Ramachandran , Adam C. Vogel , Antoine Raux
发明人： Rakesh Gupta , Deepak Ramachandran , Adam C. Vogel , Antoine Raux
IPC分类号： B60W20/00 , B60W10/06 , B60W10/26 , G01C21/34
CPC分类号： B60W20/104 , B60W10/06 , B60W10/26 , B60W20/12 , B60W2530/14 , B60W2550/143 , B60W2550/402 , B60W2600/00 , G01C21/3469 , Y10S903/93
摘要： A powertrain of a hybrid electric vehicle (HEV) is controlled. A first value α1 and a second value α2 are determined. α1 represents a proportion of an instantaneous power requirement (Preq) supplied by an engine of the HEV. α2 controls a recharging rate of a battery of the HEV. A determination is performed, based on α1 and α2, regarding how much engine power to use (Peng) and how much battery power to use (Pbatt). Peng and Pbatt are sent to the powertrain.
摘要翻译：混合动力汽车（HEV）的动力总成被控制。确定第一值α1和第二值α2。 α1表示由HEV的发动机提供的瞬时功率要求（Preq）的比例。 α2控制HEV电池的再充电速率。根据α1和α2，决定使用多少发动机功率（Peng）以及使用多少电池电量（Pbatt）。彭和Pbatt被送到动力总成。

30. 发明授权

US08626109B2 Method for controlling of receive diversity in an antenna system 有权
标题翻译：用于控制天线系统中的接收分集的方法
公开(公告)号：US08626109B2
公开(公告)日：2014-01-07
申请号：US12858937
申请日：2010-08-18
申请人： David Ma , Asif Hossain , Rakesh Gupta
发明人： David Ma , Asif Hossain , Rakesh Gupta
IPC分类号： H04B1/16
CPC分类号： H04B7/0871
摘要： A method for controlling receive diversity of an antenna system of a computer device, the antenna system including two or more antenna elements. The method includes establishing a session with a remote transmitting system and determining whether a predetermined criteria detected by the computer device is satisfied within the session. If the predetermined criteria is satisfied within the session, the method includes activating at least two of the antenna elements for receiving transmissions, enabling performance of receive diversity on the received transmissions, and performing receive diversity on the received transmissions. If the predetermined criteria is not satisfied within the session, the method includes activating at least one of the antenna elements, disabling performance of receive diversity on the received transmissions, and performing a default signal processing on the received transmissions. A mobile communication device may be used to perform the method.
摘要翻译：一种用于控制计算机设备的天线系统的接收分集的方法，所述天线系统包括两个或更多个天线元件。该方法包括与远程发送系统建立会话，并确定在会话内是否满足由计算机设备检测到的预定标准。如果在会话内满足预定标准，则该方法包括激活用于接收传输的天线元件中的至少两个，使得能够对所接收的传输进行接收分集，并对所接收的传输进行接收分集。如果在会话内不满足预定标准，则该方法包括激活天线元件中的至少一个，禁用接收到的传输上的接收分集的性能，以及对所接收的传输执行默认信号处理。可以使用移动通信设备来执行该方法。

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