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    • 1. 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。
    • 3. 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。