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    • 48. 发明授权
    • Feedback system
    • 反馈系统
    • US08812419B1
    • 2014-08-19
    • US13158305
    • 2011-06-10
    • Eric TellerClaes-Fredrik MannbyKevin Anthony FurrCheryl Grunbock
    • Eric TellerMartin T. KingClaes-Fredrik MannbyKevin Anthony Furr
    • G06F17/00
    • G06Q10/10
    • Exemplary methods and systems are disclosed that apply feedback-based machine learning in order to more intelligently use context information to automate certain actions. An exemplary method involves: determining a first context based on a combination of two or more context signals, using a context-to-action mapping to determine a first action that corresponds to the first context, initiating the first action, after initiating the first action, receiving a data signal corresponding to a user-action, analyzing the data signal to determine a feedback relationship between the user-action and the first action, and based at least in part on the feedback relationship, updating the context-to-action mapping.
    • 公开了示例性方法和系统,其应用基于反馈的机器学习,以便更智能地使用上下文信息来自动化某些动作。 一种示例性方法包括:基于两个或更多个上下文信号的组合来确定第一上下文,使用上下文动作映射来确定对应于第一上下文的第一动作,在启动第一动作之后启动第一动作 ,接收对应于用户动作的数据信号,分析数据信号以确定用户动作与第一动作之间的反馈关系,并且至少部分地基于所述反馈关系,更新所述上下文动作映射 。
    • 49. 发明授权
    • Consideration of risks in active sensing for an autonomous vehicle
    • 考虑自主车辆主动感测中的风险
    • US08781669B1
    • 2014-07-15
    • US13471184
    • 2012-05-14
    • Eric TellerPeter Lombrozo
    • Eric TellerPeter Lombrozo
    • G01C22/00
    • G05D1/021
    • An autonomous vehicle configured for active sensing may also be configured to weigh expected information gains from active-sensing actions against risk costs associated with the active-sensing actions. An example method involves: (a) receiving information from one or more sensors of an autonomous vehicle, wherein one or more control processes for an autonomous vehicle are based upon the information, (b) determining an information-improvement expectation that corresponds to an active-sensing action, (c) determining a risk-cost that corresponds to the active-sensing action; and (d) based on both (i) the information-improvement expectation for the active-sensing action and (ii) the risk-cost for the active-sensing action, determining whether the active-sensing action is advisable.
    • 配置用于主动感测的自主车辆还可以被配置为从主动感测动作对与主动感测动作相关的风险成本来衡量预期信息增益。 一种示例性方法包括:(a)从自主车辆的一个或多个传感器接收信息,其中自主车辆的一个或多个控制过程基于该信息,(b)确定对应于活动的信息改进期望 (c)确定对应于主动感测动作的风险成本; (d)基于(i)主动感知行为的信息改善预期和(ii)主动感测行为的风险成本,确定主动感知行为是否可行。
    • 50. 发明授权
    • Utilizing multiple teleo-operated devices for common teleo-experience sessions
    • 利用多个远程操作设备进行常见的远程会议
    • US08676893B1
    • 2014-03-18
    • US13346666
    • 2012-01-09
    • Eric Teller
    • Eric Teller
    • G06F15/16
    • H04L67/125H04L67/141H04L67/18
    • Methods and apparatus related to teleo-experience sessions are disclosed. A server coordinates a common teleo-experience session for a plurality of P participant devices, each configured to receive media content from one or more teleo-operated devices of a plurality of D teleo-operated devices, with P greater than D. A plurality of teleo-control requests are received at the server that specify at least two preferred options for at least one parameter of the teleo-experience session related to the plurality of D teleo-operated devices. The server determines whether the at least two preferred options conflict. If the least two preferred options conflict, the server selects an option for the at least one parameter based on the at least two preferred options and sends at least one teleo-control instruction based on the selected option for the at least one parameter.
    • 披露了与视听体验课程有关的方法和设备。 服务器协调用于多个P参与者设备的公共远程体验会话,每个参与者设备被配置为从多个D远程操作设备的一个或多个远程操作的设备接收媒体内容,其中P大于D.多个 在服务器处接收到电话控制请求,该请求指定与多个D电视操作设备相关的电视体验会话的至少一个参数的至少两个优选选项。 服务器确定至少两个首选选项是否冲突。 如果至少两个优选选项冲突,则服务器基于该至少两个优选选项为该至少一个参数选择一个选项,并基于该至少一个参数的所选择的选项发送至少一个远程控制指令。