公开(公告)号：US20160354923A1

公开(公告)日：2016-12-08

申请号：US15244063

申请日：2016-08-23

Applicant: Google Inc.

Inventor： James J. Kuffner, JR. ,  Ryan Hickman

IPC: B25J9/00 ,  G05B19/418 ,  B25J9/16

CPC classification number: B25J9/0084 ,  B25J9/1679 ,  G05B19/4187 ,  G05B2219/39117 ,  G05B2219/39146 ,  G05B2219/40095 ,  G06Q10/06 ,  Y02P90/205 ,  Y02P90/86 ,  Y10S901/01

Abstract: Methods and systems for allocating tasks to robotic devices are provided. An example method includes receiving information associated with task logs for a plurality of robotic devices and in a computing system configured to access a processor and memory, determining information associated with a health level for the plurality of robotic devices based on the information associated with the task logs. A health level for a given robotic device may be proportional to a current level of ability to perform a function, which may change over a lifespan of the given robotic device. Information associated with a plurality of tasks to be performed by one or more or the robotic devices may also be determined. The computing system may optimize an allocation of the plurality of tasks such that a high precision task may be allocated to a robotic device having a greater current health level than another robotic device.

公开(公告)号：US09446511B2

公开(公告)日：2016-09-20

申请号：US14645135

申请日：2015-03-11

Applicant: Google Inc.

Inventor： James J. Kuffner, Jr. ,  Ryan Hickman

IPC: B25J9/00 ,  G06Q10/06 ,  G05B19/418 ,  B25J9/16

CPC classification number: B25J9/0084 ,  B25J9/1679 ,  G05B19/4187 ,  G05B2219/39117 ,  G05B2219/39146 ,  G05B2219/40095 ,  G06Q10/06 ,  Y02P90/205 ,  Y02P90/86 ,  Y10S901/01

Abstract: Methods and systems for allocating tasks to robotic devices are provided. An example method includes receiving information associated with task logs for a plurality of robotic devices and in a computing system configured to access a processor and memory, determining information associated with a health level for the plurality of robotic devices based on the information associated with the task logs. A health level for a given robotic device may be proportional to a current level of ability to perform a function, which may change over a lifespan of the given robotic device. Information associated with a plurality of tasks to be performed by one or more or the robotic devices may also be determined. The computing system may optimize an allocation of the plurality of tasks such that a high precision task may be allocated to a robotic device having a greater current health level than another robotic device.

Abstract translation: 提供了将任务分配给机器人设备的方法和系统。 示例性方法包括接收与多个机器人设备的任务日志相关联的信息，并且在被配置为访问处理器和存储器的计算系统中，基于与所述任务相关联的信息确定与所述多个机器人设备的健康水平相关联的信息 日志。 给定机器人设备的健康水平可以与执行功能的当前能力水平成比例，其可以在给定的机器人设备的寿命期内改变。 还可以确定与由一个或多个或机器人设备执行的多个任务相关联的信息。 计算系统可以优化多个任务的分配，使得可以将高精度任务分配给具有比另一机器人设备更大的当前健康水平的机器人设备。

公开(公告)号：US09399290B2

公开(公告)日：2016-07-26

申请号：US14493676

申请日：2014-09-23

Applicant: Google Inc.

Inventor： Anthony G. Francis, Jr. ,  Ryan Hickman ,  Arshan Poursohi

IPC: B25J9/16 ,  G05B23/02 ,  G06F9/50

CPC classification number: B25J9/161 ,  G05B23/0221 ,  G06F9/5072

Abstract: A method includes receiving first sensor data acquired by a first sensor in communication with a cloud computing system. The first sensor data has a first set of associated attributes including a time and a location at which the first sensor data was acquired. The method also includes receiving second sensor data acquired by a second sensor in communication with the cloud computing system. The second data has a second set of associated attributes including a time and a location at which the second sensor data was acquire. Further, the method includes generating a data processing result based at least in part on the first sensor data, the first set of associated attributes, the second sensor data, and the second set of associated attributes and instructing a robot in communication with the cloud computing system to perform a task based at least in part on the data processing result.

Abstract translation: 一种方法包括接收与云计算系统通信的由第一传感器采集的第一传感器数据。 第一传感器数据具有第一组关联属性，包括时间和获取第一传感器数据的位置。 该方法还包括接收由与云计算系统通信的第二传感器采集的第二传感器数据。 第二数据具有包括第二传感器数据获取的时间和位置的第二组关联属性。 此外，该方法包括至少部分地基于第一传感器数据，第一组关联属性，第二传感器数据和第二组关联属性生成数据处理结果，并且指示机器人与云计算通信 系统至少部分地基于数据处理结果执行任务。

公开(公告)号：US20150286454A1

公开(公告)日：2015-10-08

申请号：US14747246

申请日：2015-06-23

Applicant: Google Inc.

Inventor： Ryan Hickman

IPC: G06F3/14 ,  G06Q30/02 ,  G06Q50/16

CPC classification number: G06F3/14 ,  A61B8/485 ,  G06Q30/02 ,  G06Q30/0251 ,  G06Q30/0261 ,  G06Q50/16 ,  G06Q50/163

Abstract: Techniques for identifying groups of features in an online geographic view of a real property and replacing and/or augmenting the groups of features with advertisement information are described. The techniques include providing a geographic view of a property within an online property management system, identifying a region of interest in the geographic view, analyzing the geographic view to locate one or more promotional features within the geographic view positioned upon a real property region, providing a user-selectable link associated with the region of interest in the geographic view, receiving a request for the region of interest in the geographic view via the user-selectable link, receiving data to alter at least one of the behavior or the appearance of the region of interest, storing the data in association with the geographic view, and updating the region of interest within the geographic view based upon the received data.

Abstract translation: 描述用于识别不动产的在线地理视图中的特征组的技术，并且用广告信息来替换和/或增强特征组。 这些技术包括在在线物业管理系统内提供属性的地理视图，识别地理视图中的感兴趣区域，分析地理视图以定位位于不动产区域的地理视图内的一个或多个促销特征，提供 与所述地理视图中的所述感兴趣区域相关联的用户可选择链接，经由所述用户可选择的链接接收对所述地理视图中的感兴趣区域的请求，接收数据以改变所述地理视图中的至少一个行为或外观 存储与地理视图相关联的数据，以及基于所接收的数据来更新地理视图内的感兴趣区域。

公开(公告)号：US20150149934A1

公开(公告)日：2015-05-28

申请号：US14571075

申请日：2014-12-15

Applicant: Google Inc.

Inventor： Ryan Hickman

IPC: H04L29/06

CPC classification number: H04L65/403 ,  G06F3/0484 ,  G06Q30/02 ,  G06Q50/01

Abstract: According to a general aspect, a method can include receiving a request, triggered via a consumer account, to access, using a social media application, a plurality of sharer content. The sharer content can be associated with a sharer account using the social media application. The method can include retrieving, in response to the request, a consumer value and a relationship value. The consumer value can represent an interaction with the social media application via the consumer account and the relationship value can characterize a relationship between a consumer identifier of the consumer account and a sharer identifier of the sharer account. The method can include selecting a subset of sharer content from the plurality of sharer content based on a combination of the consumer value and the relationship value, and can include defining a portion of a presentation customized for the consumer account using the selected subset of sharer content.

Abstract translation: 根据一般方面，一种方法可以包括接收通过消费者帐户触发的请求，以使用社交媒体应用来访问多个共享者内容。 共享者内容可以使用社交媒体应用程序与共享者帐户相关联。 该方法可以包括响应于该请求检索消费者价值和关系值。 消费者价值可以表示通过消费者帐户与社交媒体应用的交互，并且关系值可以表征消费者帐户的消费者标识符和共享者帐户的共享者标识符之间的关系。 该方法可以包括基于消费者价值和关系价值的组合从多个共享者内容中选择共享者内容的子集，并且可以包括使用所选择的共享者内容的子集来定义为消费者帐户定制的呈现的一部分 。

公开(公告)号：US20150148957A1

公开(公告)日：2015-05-28

申请号：US14556846

申请日：2014-12-01

Applicant: Google Inc.

Inventor： James J. Kuffner, JR. ,  Ryan Hickman

IPC: G05B19/18

CPC classification number: B25J9/1692 ,  B25J5/005 ,  B25J9/1674 ,  B62D55/075 ,  G05B2219/39413 ,  G06F9/5072 ,  H04L67/12

Abstract: Methods and systems for determining a status of a component of a device are provided. An example method includes triggering an action of a component of a device, and responsively receiving information associated with the action of the component from a sensor. The method further includes a computing system having a processor and a memory comparing the information with calibration data and determining a status of the component based on the comparison. In some examples, the calibration data may include information derived from data received from a pool of one or more devices utilizing same or similar components as the component. The determined status may include information associated with a performance of the component with respect to performances of same or similar components of the pool of devices. In one example, the device may self-calibrate the component based on the status.

Abstract translation: 提供了用于确定设备的部件的状态的方法和系统。 示例性方法包括触发设备的组件的动作，以及响应地从传感器接收与组件的动作相关联的信息。 该方法还包括具有处理器和存储器的信息与校准数据进行比较的计算系统，并且基于该比较来确定组件的状态。 在一些示例中，校准数据可以包括从使用与组件相同或相似的组件的一个或多个设备的池接收的数据导出的信息。 所确定的状态可以包括与组件的性能相关的信息相对于设备池的相同或相似组件的性能。 在一个示例中，设备可以基于状态来自校准组件。

公开(公告)号：US09008839B1

公开(公告)日：2015-04-14

申请号：US13757810

申请日：2013-02-03

Applicant: Google Inc.

Inventor： James J. Kuffner, Jr. ,  Ryan Hickman

IPC: B25J9/16 ,  B25J9/00

CPC classification number: B25J9/0084 ,  B25J9/1679 ,  G05B19/4187 ,  G05B2219/39117 ,  G05B2219/39146 ,  G05B2219/40095 ,  G06Q10/06 ,  Y02P90/205 ,  Y02P90/86 ,  Y10S901/01

Abstract: Methods and systems for allocating tasks to robotic devices are provided. An example method includes receiving information associated with task logs for a plurality of robotic devices and in a computing system configured to access a processor and memory, determining information associated with a health level for the plurality of robotic devices based on the information associated with the task logs. A health level for a given robotic device may be proportional to a current level of ability to perform a function, which may change over a lifespan of the given robotic device. Information associated with a plurality of tasks to be performed by one or more or the robotic devices may also be determined. According to the method, the computing system may optimize an allocation of the plurality of tasks such that a high precision task may be allocated to a robotic device having a greater current health level than another robotic device.

Abstract translation: 提供了将任务分配给机器人设备的方法和系统。 示例性方法包括接收与多个机器人设备的任务日志相关联的信息，并且在被配置为访问处理器和存储器的计算系统中，基于与所述任务相关联的信息确定与所述多个机器人设备的健康水平相关联的信息 日志。 给定机器人设备的健康水平可以与执行功能的当前能力水平成比例，其可以在给定的机器人设备的寿命期内改变。 还可以确定与由一个或多个或机器人设备执行的多个任务相关联的信息。 根据该方法，计算系统可以优化多个任务的分配，使得可以将高精度任务分配给具有比另一机器人设备更大的当前健康水平的机器人设备。

公开(公告)号：US20150012132A1

公开(公告)日：2015-01-08

申请号：US14493676

申请日：2014-09-23

Applicant: Google Inc.

Inventor： Anthony G. Francis, Jr. ,  Ryan Hickman ,  Arshan Poursohi

IPC: B25J9/16

CPC classification number: B25J9/161 ,  G05B23/0221 ,  G06F9/5072

Abstract: A method includes receiving first sensor data acquired by a first sensor in communication with a cloud computing system. The first sensor data has a first set of associated attributes including a time and a location at which the first sensor data was acquired. The method also includes receiving second sensor data acquired by a second sensor in communication with the cloud computing system. The second data has a second set of associated attributes including a time and a location at which the second sensor data was acquire. Further, the method includes generating a data processing result based at least in part on the first sensor data, the first set of associated attributes, the second sensor data, and the second set of associated attributes and instructing a robot in communication with the cloud computing system to perform a task based at least in part on the data processing result.

Abstract translation: 一种方法包括接收与云计算系统通信的由第一传感器采集的第一传感器数据。 第一传感器数据具有第一组关联属性，包括时间和获取第一传感器数据的位置。 该方法还包括接收由与云计算系统通信的第二传感器采集的第二传感器数据。 第二数据具有包括第二传感器数据获取的时间和位置的第二组关联属性。 此外，该方法包括至少部分地基于第一传感器数据，第一组关联属性，第二传感器数据和第二组关联属性生成数据处理结果，并且指示机器人与云计算通信 系统至少部分地基于数据处理结果执行任务。

公开(公告)号：US08922576B2

公开(公告)日：2014-12-30

申请号：US14284889

申请日：2014-05-22

Applicant: Google Inc.

Inventor： Ryan Hickman ,  James J. Kuffner, Jr. ,  Anthony Gerald Francis, Jr. ,  Arshan Poursohi ,  James R. Bruce ,  Thor Lewis ,  Chaitanya Gharpure

IPC: G09G5/00 ,  G06T19/20 ,  G06T17/00

CPC classification number: G06T19/20 ,  G06T15/20 ,  G06T17/00 ,  G06T2219/2004 ,  G09G5/00

Abstract: Methods and systems for interacting with multiple three-dimensional (3D) object data models are provided. An example method may involve providing to a display device for display a first 3D object data model and a second 3D object data model. Information associated with a modification to the first 3D object data model may be received. Based on the received information, a same change may be applied to the first 3D object data model and applied to the second 3D object data model to obtain a first modified 3D object data model and a second modified 3D object data model. According to the method, the first modified 3D object data model and the second modified 3D object data model may be provided to the display device for substantially simultaneous display.

Abstract translation: 提供了与多个三维（3D）对象数据模型交互的方法和系统。 示例性方法可以涉及向显示设备提供用于显示第一3D对象数据模型和第二3D对象数据模型。 可以接收与第一3D对象数据模型的修改相关联的信息。 基于接收到的信息，可以将相同的变化应用于第一3D对象数据模型并应用于第二3D对象数据模型以获得第一修改的3D对象数据模型和第二修改3D对象数据模型。 根据该方法，可以将第一修改3D对象数据模型和第二修改3D对象数据模型提供给显示装置，以便基本上同时显示。

公开(公告)号：US08831366B1

公开(公告)日：2014-09-09

申请号：US13673994

申请日：2012-11-10

Applicant: Google Inc.

Inventor： Ryan Hickman ,  James J. Kuffner, Jr. ,  Anthony Gerald Francis, Jr. ,  Arshan Poursohi ,  James R. Bruce ,  Thor Lewis ,  Chaitanya Gharpure ,  Won Chun

IPC: G06K9/36 ,  G06K9/46 ,  G06T9/00

CPC classification number: G06T15/10 ,  G06T9/001 ,  G06T15/80 ,  G06T19/20 ,  G06T2219/2012 ,  G06T2219/2021

Abstract: Methods and systems for encoding and compressing 3D object data models are provided. An example method may involve receiving 3D mesh data for an object that includes geometry coordinates for a surface of the object. Additionally, material properties may be associated with the geometry coordinates. The method may also include identifying multiple portions of the mesh data based on the material properties associated with the geometry coordinates. For example, a given group of adjacent geometry coordinates having common material properties may be identified as a given portion. For at least some of the identified portions of the mesh data, the method may further include encoding information related to an identified portion of the mesh data and compressing the encoded information into a file of compressed geometric data.

Abstract translation: 提供了用于编码和压缩3D对象数据模型的方法和系统。 示例性方法可以涉及接收包括对象表面的几何坐标的对象的3D网格数据。 另外，材料属性可以与几何坐标相关联。 该方法还可以包括基于与几何坐标相关联的材料属性来识别网格数据的多个部分。 例如，具有共同材料属性的给定组的相邻几何坐标可以被识别为给定部分。 对于网格数据的所识别的部分的至少一些，该方法还可以包括对与网格数据的识别部分相关的信息进行编码，并将编码的信息压缩成压缩几何数据的文件。