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    • 2. 发明授权
    • Methods and systems for robot personality development
    • 机器人人格发展的方法与系统
    • US08996429B1
    • 2015-03-31
    • US13460131
    • 2012-04-30
    • Anthony G. Francis, Jr.Thor Lewis
    • Anthony G. Francis, Jr.Thor Lewis
    • G06F17/30
    • G06F17/303G06N3/008
    • Methods and systems for robot and user interaction are provided to generate a personality for the robot. A robot may access a user device to determine or identify information about a user, and the robot may be configured to tailor a personality for interaction with the user based on the identified information. A robot may further receive data associated with the user to identify the user, such as using speech or face recognition. The robot may provide a personalized interaction or response to the user based on the determined information of the user. In some examples, a robot's personality or personalization can be transferred from one robot to another robot, or information stored on one robot can be shared with another robot over the cloud.
    • 提供用于机器人和用户交互的方法和系统以产生机器人的个性。 机器人可以访问用户设备以确定或识别关于用户的信息,并且机器人可以被配置为基于所识别的信息来定制个性以与用户交互。 机器人可以进一步接收与用户相关联的数据以识别用户,例如使用语音或人脸识别。 机器人可以基于确定的用户的信息来向用户提供个性化的交互或响应。 在一些示例中,机器人的个性化或个性化可以从一个机器人转移到另一个机器人,或者存储在一个机器人上的信息可以与云上的另一个机器人共享。
    • 3. 发明授权
    • Projection of interactive map data
    • 交互式地图数据的投影
    • US08918208B1
    • 2014-12-23
    • US13440600
    • 2012-04-05
    • Ryan HickmanAnthony G. Francis, Jr.Thor Lewis
    • Ryan HickmanAnthony G. Francis, Jr.Thor Lewis
    • G05B19/04G05B19/18
    • B25J9/1664B25J9/1602B25J9/1697G05B2219/39252G05B2219/40178G06F17/30268G06N3/008H04L67/42Y10S901/01Y10S901/47
    • Methods and systems for robot cloud computing are described. Within examples, cloud-based computing generally refers to networked computer architectures in which application execution and storage may be divided, to some extent, between client and server devices. A robot may be any device that has a computing ability and interacts with its surroundings with an actuation capability (e.g., electromechanical capabilities). A client device may be configured as a robot including various sensors and devices in the forms of modules, and different modules may be added or removed from robot depending on requirements. In some example, a robot may be configured to receive a second device, such as mobile phone, that may be configured to function as an accessory or a “brain” of the robot. A robot may interact with the cloud to perform any number of actions, such as to share information with other cloud computing devices.
    • 描述了机器人云计算的方法和系统。 在实例中,基于云的计算通常是指网络计算机体系结构,其中应用程序执行和存储在一定程度上可以在客户端和服务器设备之间划分。 机器人可以是具有计算能力并与其周围环境具有致动能力(例如机电能力)相互作用的任何装置。 客户端设备可以被配置为包括模块形式的各种传感器和设备的机器人,并且可以根据需要从机器人添加或移除不同的模块。 在一些示例中,机器人可以被配置为接收可被配置为用作机器人的附件或“大脑”的第二设备,诸如移动电话。 机器人可以与云交互以执行任何数量的动作,例如与其他云计算设备共享信息。
    • 4. 发明授权
    • Systems and methods for inventorying objects
    • 库存对象的系统和方法
    • US09205886B1
    • 2015-12-08
    • US13463596
    • 2012-05-03
    • Ryan HickmanJames J. Kuffner, Jr.Anthony G. Francis, Jr.Chaitanya Gharpure
    • Ryan HickmanJames J. Kuffner, Jr.Anthony G. Francis, Jr.Chaitanya Gharpure
    • B62D57/032G06Q10/08
    • B62D57/032G05B2219/40543G05D1/0246G05D1/0274G05D2201/0216G06Q10/087
    • The present application discloses systems and methods for inventorying objects. In one embodiment, a robot detects an object and sends identification data and location data associated with the detected object to a cloud computing system. The identification data may include an image of the object and/or information from a tag, code, or beacon associated with the object. In response to receiving the identification data and the location data, the cloud computing system identifies the object. The cloud computing system may also determine or create a first map associated with the identified object and a second map associated with the identified object. The first map may be associated with the current location of the object and the second map may correspond to a past location of the object. The cloud computing server may compare the first and second maps, and then send instructions to the robot based on the comparison.
    • 本申请公开了用于库存对象的系统和方法。 在一个实施例中,机器人检测对象并将与检测到的对象相关联的识别数据和位置数据发送到云计算系统。 识别数据可以包括来自与对象相关联的标签,代码或信标的对象的图像和/或信息。 响应于接收到标识数据和位置数据,云计算系统识别对象。 云计算系统还可以确定或创建与所识别的对象相关联的第一映射和与所识别的对象相关联的第二映射。 第一映射可以与对象的当前位置相关联,并且第二映射可以对应于对象的过去位置。 云计算服务器可以比较第一和第二个映射,然后根据比较发送指令给机器人。
    • 5. 发明授权
    • Enhancing sensor data by coordinating and/or correlating data attributes
    • 通过协调和/或关联数据属性来增强传感器数据
    • US08874266B1
    • 2014-10-28
    • US13564313
    • 2012-08-01
    • Anthony G. Francis, Jr.Ryan HickmanArshan Poursohi
    • Anthony G. Francis, Jr.Ryan HickmanArshan Poursohi
    • G05B19/04G05B19/18G05B15/00G05B19/00
    • B25J9/161G05B23/0221G06F9/5072
    • 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.
    • 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。