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RAPID ROBOTIC IMITATION LEARNING OF FORCE-TORQUE TASKS

机译:快速的机器人模仿练习

摘要

A method of training a robot to autonomously execute a robotic task includes moving an end effector through multiple states of a predetermined robotic task to demonstrate the task to the robot in a set of n training demonstrations. The method includes measuring training data, including at least the linear force and the torque via a force-torque sensor while moving the end effector through the multiple states. Key features are extracted from the training data, which is segmented into a time sequence of control primitives. Transitions between adjacent segments of the time sequence are identified. During autonomous execution of the same task, a controller detects the transitions and automatically switches between control modes. A robotic system includes a robot, force-torque sensor, and a controller programmed to execute the method.
机译:一种训练机器人以自主执行机器人任务的方法,该方法包括使末端执行器移动预定机器人任务的多个状态,以在n个训练演示中向机器人演示该任务。该方法包括在使末端执行器移动通过多个状态时,通过力-扭矩传感器测量训练数据,该训练数据至少包括线性力和转矩。从训练数据中提取关键特征,将其细分为控制原语的时间序列。识别时间序列的相邻片段之间的过渡。在自主执行同一任务的过程中,控制器会检测到过渡并自动在控制模式之间切换。机器人系统包括机器人,力-扭矩传感器和被编程为执行该方法的控制器。

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