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Manipulating Deformable Linear Objects: Fuzzy-Based Active Vibration Damping Skill

机译:操纵可变形线性物体:基于模糊的主动振动阻尼技术

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Human can handle a deformable object and damp its vibration with recognized skill. However, for an industrial robot, handling a deformable object with acute vibration is often a difficult task. This paper addresses the problem of active damping skill for handling deformable linear objects (DLOs) by using a strategy inspired from human manipulation skills. The strategy is illustrated by several rules, which are explained by a fuzzy and a P controller. A proportional-integral-derivative (PID) controller is also employed to explain the rules as a comparison. The interpretations from controllers are translated into high level commands in a robotic language V+. A standard industrial robot with a force/torque sensor mounted on the wrist was employed to demonstrate the skill. Experimental results showed the fuzzy based damping skill is quite effective and stable even without any previous acknowledge of the deformable linear objects.
机译:人类可以使用公认的技能来处理可变形的物体并抑制其振动。然而,对于工业机器人而言,在剧烈振动下处理可变形物体通常是困难的任务。本文通过采用受人为操作技能启发的策略,解决了用于处理可变形线性物体(DLO)的主动阻尼技术的问题。该策略由几个规则说明,其中由模糊和P控制器解释。还使用比例积分微分(PID)控制器来解释规则以作为比较。来自控制器的解释被翻译成机器人语言V +的高级命令。使用标准的工业机器人在手腕上安装了力/扭矩传感器来演示该技能。实验结果表明,基于模糊的阻尼技术即使在没有任何先验可变形线性物体的情况下也非常有效和稳定。

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