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Artificial Prehension and the Detection of Object Slip

机译:人工预训和物体滑动的检测

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An investigation of the fundamental operation of an artificial hand has been carried out with the aim to study the automatic control feedback for this system. The hand is modeled as a simple prehension system with three sensing elements; force, acceleration and slip. This prehension study focused on the object's gripping and slippage processes. An automatic closed loop feedback control algorithm is developed to re-grip the object when it starts to slip which is similar in form to Hooke's Law. The algorithm uses information from the distance of the object has slipped to re-grip the object and control the amount of force required. Also, a method called approximate entropy has been used to analyze and detect when the object begins to slip. This method can be used to prevent the object from slipping.
机译:对人工手工的基本操作进行了调查,目的是研究该系统的自动控制反馈。手被建模为具有三个传感元件的简单预热系统;力,加速和滑动。这种预处理研究专注于物体的抓握和滑动过程。开发了一种自动闭环反馈控制算法以在开始滑动时重新抓住对象,这与表格类似于胡克定律。该算法使用来自物体距离的信息滑动以重新抓住对象并控制所需的力量。此外,已被用于分析和检测对象开始滑动的方法。该方法可用于防止物体滑动。

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