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Dynamic movement primitives and force feedback: Teleoperation in precision grinding process

机译:动态运动原语和力反馈:精密磨削过程中的遥操作

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In this work, the Dynamic Movement Primitives (DMPs) concept for teleoperation on a robotic deburring machine is investigated. The correspondence problem occurs when human link and joint structures are different than target robot. Thus, transferring human movements to robot is generally problematic. Here, a teleoperation scheme is followed where human movements are directly converted to target robot while imposing capabilities of robot to the operator. A single degree of freedom haptic interface which relays the process forces to the human participant is built for controlling the deburring machine remotely. Human participant rotates the knob of the haptic device to keep the normal force constant. The knob motion is converted to the piezoelectric actuator via teleoperation. The DMPs of participants for different experiments are extracted and the ones with the lowest time span are collected in a single database which then used for simulation on different force values.
机译:在这项工作中,研究了在机器人去毛刺机上进行远程操作的动态运动基元(DMP)概念。当人的链接和关节结构与目标机器人不同时,就会发生对应问题。因此,将人的动作传递给机器人通常是有问题的。在此,遵循远程操作方案,其中将人类动作直接转换为目标机器人,同时将机器人的功能强加给操作员。建立了将过程力传递给人类参与者的单自由度触觉界面,用于远程控制去毛刺机。人体参与者旋转触觉设备的旋钮以保持法向力恒定。旋钮的运动通过遥操作转换为压电致动器。提取不同实验参与者的DMP,并将时间跨度最小的参与者的DMP收集在单个数据库中,然后将其用于模拟不同的力值。

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