用于人-机器人大惯性物体操纵的可变导纳控制器

Antonis Sidiropoulos, Theodora Kastritsi, Dimitrios Papageorgiou, Z. Doulgeri
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引用次数: 4

摘要

在本工作中,考虑到运动控制工业机器人的可用性,解决了具有大惯性物体的人机协作操作问题。特别提出了一种可变导纳控制方案,根据人传递给机器人的功率来调整阻尼,目的是使人的能量注入最小化,同时使人能够控制任务。所提出的方法通过人在环设置进行评估,并与通用的可变阻尼最先进的方法进行比较。所提出的方法被证明可以显著减少人类的努力,并最大限度地减少意外的超调和振荡,这可能会恶化用户对任务的控制感。
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A variable admittance controller for human-robot manipulation of large inertia objects
In this work, the problem of cooperative human-robot manipulation of an object with large inertia is addressed, considering the availability of a kinematically controlled industrial robot. In particular, a variable admittance control scheme is proposed, where the damping is adjusted based on the power transmitted from the human to the robot, with the aim of minimizing the energy injected by the human while also allowing her/him to have control over the task. The proposed approach is evaluated via a human-in-the-loop setup and compared to a generic variable damping state-of-the-art method. The proposed approach is shown to achieve significant reduction of the human’s effort and minimization of unintended overshoots and oscillations, which may deteriorate the user’s feeling of control over the task.
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