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    • 23. 发明授权
    • Method and system for training a robot using human-assisted task demonstration
    • 使用人为辅助任务演示训练机器人的方法和系统
    • US08843236B2
    • 2014-09-23
    • US13420677
    • 2012-03-15
    • Leandro G. BarajasEric MartinsonDavid W. PaytonRyan M. Uhlenbrock
    • Leandro G. BarajasEric MartinsonDavid W. PaytonRyan M. Uhlenbrock
    • B25J13/08
    • B25J9/1664G05B2219/40512
    • A method for training a robot to execute a robotic task in a work environment includes moving the robot across its configuration space through multiple states of the task and recording motor schema describing a sequence of behavior of the robot. Sensory data describing performance and state values of the robot is recorded while moving the robot. The method includes detecting perceptual features of objects located in the environment, assigning virtual deictic markers to the detected perceptual features, and using the assigned markers and the recorded motor schema to subsequently control the robot in an automated execution of another robotic task. Markers may be combined to produce a generalized marker. A system includes the robot, a sensor array for detecting the performance and state values, a perceptual sensor for imaging objects in the environment, and an electronic control unit that executes the present method.
    • 用于训练机器人以在工作环境中执行机器人任务的方法包括:通过所述任务的多个状态和描述机器人行为序列的记录电机模式来移动所述机器人在其配置空间。 在移动机器人时记录描述机器人的性能和状态值的感官数据。 该方法包括检测位于环境中的对象的感知特征,将虚拟指示标记分配给所检测到的感知特征,以及使用所分配的标记和所记录的运动模式来随后在另一机器人任务的自动执行中控制机器人。 标记可以组合以产生广义标记。 系统包括机器人,用于检测性能和状态值的传感器阵列,用于在环境中成像对象的感知传感器,以及执行本方法的电子控制单元。
    • 25. 发明授权
    • Establishing common interest negotiation links between consumers and suppliers to facilitate solving a resource allocation problem
    • 建立消费者和供应商之间的共同利益谈判联系,以便于解决资源分配问题
    • US08370422B2
    • 2013-02-05
    • US12702062
    • 2010-02-08
    • David W. PaytonAleksey Nogin
    • David W. PaytonAleksey Nogin
    • G06F15/16
    • G06Q30/0611G06Q10/06
    • A computer-implemented method includes communicating to a number of agents a first resource negotiation request that includes one or more first parameters each having a corresponding first range of acceptability. The method includes receiving first request responses from each of one or more capable agents each operable to fulfill at least one first parameter within the corresponding first range of acceptability. The method includes determining solution entities based on the first responses, each solution entity including one or more of the capable agents operable to fulfill the one or more parameters of the first request within the corresponding first ranges of acceptability, each capable agent operable to fulfill at least one first parameter within the corresponding first range of acceptability. The method includes communicating a second resource negotiation request to each capable agent in each determined solution entity, the second request including one or more second parameters each having a corresponding second range of acceptability.
    • 计算机实现的方法包括向多个代理进行通信,所述第一资源协商请求包括一个或多个第一参数,每个参数具有相应的第一可接受范围。 该方法包括接收来自一个或多个能力代理中的每一个的第一请求响应,每个可执行代理可操作以满足相应的第一可接受范围内的至少一个第一参数。 该方法包括基于第一响应来确定解决方案实体,每个解决方案实体包括一个或多个能力代理,可操作以在相应的第一可接受范围内履行第一请求的一个或多个参数,每个能力代理可操作以在 在相应的第一可接受范围内的至少一个第一参数。 该方法包括向每个确定的解决方案实体中的每个能力的代理传达第二资源协商请求,所述第二请求包括一个或多个第二参数,每个具有相应的第二可接受范围。
    • 26. 发明授权
    • Near on-demand digital information delivery system and method using
signal fragmentation and sequencing to reduce average bandwidth and
peak bandwidth variability
    • 靠近按需数字信息传递系统和方法,使用信号分段和排序来减少平均带宽和峰值带宽变化
    • US5831662A
    • 1998-11-03
    • US627627
    • 1996-04-04
    • David W. Payton
    • David W. Payton
    • H04N5/46H04H20/00H04H20/40H04H20/42H04H20/51H04H20/74H04L12/24H04N7/173H04N7/18H04N21/426H04N21/438H04N7/16
    • H04H20/16H04H20/42H04N21/2381H04N7/17327H04H20/40H04H20/51
    • Near on-demand delivery of digital signals is accomplished by first dividing the signals into sequences of N numbered fragments, where the length of each fragment is equal to the broadcast time interval. The fragments are broadcast so that the first fragment is repeated every broadcast time interval, the second fragment is repeated every two time intervals, and so forth until the Nth fragment is repeated at least every Nth time interval. A fractal channel packing algorithm is preferably used to sequence the fragments over a plurality of channels to reduce the variability in peak bandwidth caused by fragmentation. The fragments are locally downloaded and stored during successive time intervals in response to a subscriber's request so that the first fragment is available within one time interval from the request, and the higher numbered fragments are available within their respective periods. The fragments are read out in order and integrated to seamlessly deliver the requested signal. As a result, the average bandwidth of the delivered signal increases only logarithmically, instead of linearly, as the broadcast time interval is reduced. If a portion of the delivered signal is pre-stored at the receiving site, the required broadcast bandwidth has a finite bound, regardless of how much the broadcast time interval is reduced.
    • 通过首先将信号划分成N个编号的片段的序列,其中每个片段的长度等于广播时间间隔来实现数字信号的按需传递。 广播片段,使得每个广播时间间隔重复第一片段,每两个时间间隔重复第二片段,等等,直到至少每第N个时间间隔重复第N个片段。 优选地使用分形信道打包算法来对多个信道上的片段进行排序以减少由分段引起的峰值带宽的变化。 片段在连续的时间间隔内被本地下载并存储以响应于用户的请求,使得第一片段在从该请求的一个时间间隔内可用,并且较高编号的片段在它们各自的周期内可用。 片段按顺序读出并集成,以无缝地传递所请求的信号。 结果,随着广播时间间隔的减小,传送信号的平均带宽只是对数地增加而不是线性增加。 如果传送的信号的一部分被预存储在接收站点,则所需的广播带宽具有有限的边界,而不管广播时间间隔减少多少。
    • 28. 发明授权
    • On-demand digital information delivery system and method using signal
fragmentation and linear/fractal sequencing.
    • 按需数字信息传递系统和使用信号分段和线性/分形测序的方法。
    • US5737009A
    • 1998-04-07
    • US627628
    • 1996-04-04
    • David W. Payton
    • David W. Payton
    • H04N21/2312H04N21/472H04N21/61H04N7/173
    • H04N21/47202H04N21/2312H04N21/6143
    • Digital information is delivered on-demand through satellites and other predominantly broadcast transmission systems to local subscribers by fragmenting each digital item into a sequence of ordered fragments and sequencing them based upon the incidence of subscriber requests. Linear and fractal sequencers are used to schedule the fragments when the incidence of requests is respectively below and above a threshold. The linear sequencer responds to the first request by scheduling the item's fragments in order at successive time intervals and responds to each successive request by adding only those fragments that the existing schedule cannot accommodate. The fractal sequencer computes a full fractal sequencing pattern, in which the fragments are scheduled with broadcast periods less than or equal to their fragment numbers, and based upon the incidence of requests deletes the fragments in the full pattern that are not required to satisfy the subscribers' requests. A hybrid sequencer combines the linear and fractal sequencers to minimize the average bandwidth needed to service infrequent requests and places an upper bound on the peak bandwidth required to service frequent requests.
    • 数字信息通过卫星和其他主要广播传输系统按需传送到本地用户,通过将每个数字项目分段成一系列有序片段,并根据用户请求的发生情况进行排序。 当请求的发生率分别低于和高于阈值时,线性和分形排序器用于调度片段。 线性定序器通过按照连续的时间间隔按顺序调度项目的片段来响应第一个请求,并通过仅添加现有时间表不能容纳的片段来响应每个连续的请求。 分形序列器计算完整的分形序列模式,其中片段被调度,其广播周期小于或等于它们的片段编号,并且基于请求的发生率删除完整模式中不满足订阅者的片段 ' 要求。 混合序列器组合线性和分形序列器,以最小化服务不频繁请求所需的平均带宽,并为服务频繁请求所需的峰值带宽设置上限。
    • 30. 发明申请
    • METHOD AND SYSTEM FOR TRAINING A ROBOT USING HUMAN-ASSISTED TASK DEMONSTRATION
    • 使用人为辅助任务演示来训练机器人的方法和系统
    • US20130245824A1
    • 2013-09-19
    • US13420677
    • 2012-03-15
    • Leandro G. BarajasEric MartinsonDavid W. PaytonRyan M. Uhlenbrock
    • Leandro G. BarajasEric MartinsonDavid W. PaytonRyan M. Uhlenbrock
    • B25J13/08
    • B25J9/1664G05B2219/40512
    • A method for training a robot to execute a robotic task in a work environment includes moving the robot across its configuration space through multiple states of the task and recording motor schema describing a sequence of behavior of the robot. Sensory data describing performance and state values of the robot is recorded while moving the robot. The method includes detecting perceptual features of objects located in the environment, assigning virtual deictic markers to the detected perceptual features, and using the assigned markers and the recorded motor schema to subsequently control the robot in an automated execution of another robotic task. Markers may be combined to produce a generalized marker. A system includes the robot, a sensor array for detecting the performance and state values, a perceptual sensor for imaging objects in the environment, and an electronic control unit that executes the present method.
    • 用于训练机器人以在工作环境中执行机器人任务的方法包括:通过所述任务的多个状态和描述机器人行为序列的记录电机模式来移动所述机器人在其配置空间。 在移动机器人时记录描述机器人的性能和状态值的感官数据。 该方法包括检测位于环境中的对象的感知特征,将虚拟指示标记分配给所检测到的感知特征,以及使用所分配的标记和所记录的运动模式来随后在另一机器人任务的自动执行中控制机器人。 标记可以组合以产生广义标记。 系统包括机器人,用于检测性能和状态值的传感器阵列,用于在环境中成像对象的感知传感器,以及执行本方法的电子控制单元。