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Training by demonstration for welding robots by optical trajectory tracking

机译:通过光学轨迹跟踪焊接机器人的演示培训

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The paper shows the application of an optical measuring system to a trajectory tracking problem with the aim of training a welding robot in a collaborative man-machine welding station. The optical system allows a fast and reliable training of the welding tasks imparted by the human co-worker. An algorithm developed for this application filters inaccurate and noisy data, re-orders points and computes a trajectory suitable for a welding robot. This can shorten time required for programming. The industrial relevance of this application is twofold: on one side it increases the safety of human workers by leaving the robot to perform the risky tasks, namely the welding, on the other side it guarantees higher repeatability than manual execution.
机译:本文显示了光学测量系统在协同人机焊接站中训练焊接机器人的目的在轨迹跟踪问题中的应用。光学系统允许对人类共同工作人员施加的焊接任务的快速可靠地训练。为此应用程序开发的算法筛选不准确和嘈杂的数据,重新订购点并计算适用于焊接机器人的轨迹。这可以缩短编程所需的时间。本申请的工业相关性是双重的:在一侧,它通过将机器人留下危险的任务来提高人工人工的安全性,即焊接,另一侧,它保证比手动执行更高的重复性。

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