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公开(公告)号:US10678338B2
公开(公告)日:2020-06-09
申请号:US15619265
申请日:2017-06-09
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Robert Dailey , Eric Zavesky , James Pratt , Yupeng Jia
Abstract: In one embodiment, a processor accesses sensor input data received from one or more sensors. The sensor input data represents one or more gestures. The processor determines, based on the sensor input data representing the one or more gestures, action data representing an action to be performed by a robot. The action includes physical movements of the robot. The processor evaluates the action data representing the action to be performed by the robot in light of evaluation data.
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12.
公开(公告)号:US20130218792A1
公开(公告)日:2013-08-22
申请号:US13850352
申请日:2013-03-26
Inventor: Sreenivasa Gorti , Robert Dailey , Ankur Mukerji , Scott Thomas
CPC classification number: H04L67/306 , G06Q30/02 , G06Q30/0201 , G06Q50/01
Abstract: A method includes classifying a relationship between a first group and each of one or more additional groups based on at least one of a number of communications during a time period and a frequency of the communications. The communications are between one or more members of the first group and one or more members of each of the one or more additional groups. The method includes generating social network data based on the relationship between the first group and each of the one or more additional groups.
Abstract translation: 一种方法包括基于在一段时间段内的通信次数和通信频率中的至少一个来对第一组与一个或多个附加组中的每一个之间的关系进行分类。 通信在第一组中的一个或多个成员和一个或多个附加组中的每一个的一个或多个成员之间。 该方法包括基于第一组与一个或多个附加组中的每一个之间的关系生成社交网络数据。
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