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On an Improved State Parametrization for Soft Robots With Piecewise Constant Curvature and Its Use in Model Based Control

机译:在基于模型控制的过程中改进的软机械态调节状态和应用

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Piecewise constant curvature models have proven to be an useful tool for describing kinematics and dynamics of soft robots. However, in their three dimensional formulation they suffer from many issues limiting their range of applicability - as discontinuities and singularities - mainly concerning the straight configuration of the robot. In this work we analyze these flaws, and we show that they are not due to the piecewise constant curvature assumption itself, but that instead they are a byproduct of the commonly employed direction/angle of bending parametrization of the state. We therefore consider an alternative state representation which solves all the discussed issues, and we derive a model based controller based on it. Examples in simulation are provided to support and describe the theoretical results. When using the novel parametrization, the system is able to perform more complex tasks, with a strongly reduced computational burden, and without incurring in spikes and discontinuous behaviors.
机译:分段恒定曲率模型已被证明是描述软机器的运动学和动态的有用工具。然而,在他们的三维配方中,他们遭受了限制其适用范围的许多问题 - 作为不连续性和奇点 - 主要关于机器人的直线配置。在这项工作中,我们分析了这些缺陷,我们表明它们不是由于分段恒定的曲率假设本身,而是它们是状态的常用方向/角度的副产品的副产品。因此,我们考虑一种解决所有讨论的问题的替代状态表示,并且我们基于它得出了基于模型的控制器。提供模拟中的示例以支持和描述理论结果。在使用新颖的参数化时,系统能够执行更复杂的任务,具有强烈降低的计算负担,而不会导致尖峰和不连续的行为。

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