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Robust Feedback Control Design of Underactuated Robotic Hands with Selectively Lockable Switches for Amputees

机译:带被截肢者选择性锁定开关的欠驱动机器人手的鲁棒反馈控制设计

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In recent years, reproduction of human mechanical hand with upgraded abilities is one of the major concerns. This paper addresses the problems of underactuated robotic hand with low cost design as it avoids electromyogram (EMG) sensors. The main goal is to balance the hand in the way, like grabbing, speed, and power, and provide a more robust and cost effective solution. All fingers have some mechanical consistency for picking up objects in a better way. A Flex sensor is attached to all fingers and it is interfaced with a computer using Arduino UNO microcontroller. The sensor aids the arm in three different directions at first it senses whether an object is grasped or not. In the second step, it determines the coefficient of friction between the objects. Finally it grasps the object and stops. One of the primary issues of prosthetic hand is to have the capacity to satisfy every detail of torque, speed, and latency. In this research, we have developed a model of robotic hand with some modifications. The adaptability of grasping is compared with the degree of freedom (DOF) along with the quantity of fingers. We are controlling our hands via sensors based signal controlling system. The idea is to design a robotic hand, which has low cost, is easy to use, and is light in weight, which helps the amputees to use it with ease in their daily lives. The efficacy of the proposed control is verified and validated using simulations.
机译:近年来,具有增强能力的人类机械手的繁殖是主要关注的问题之一。本文解决了设计成本低的机械手的问题,因为它避免了肌电图(EMG)传感器。主要目标是在手的方式上取得平衡,例如抓握,速度和力量,并提供更强大且更具成本效益的解决方案。所有手指都具有一定的机械一致性,可以更好地拾取物体。 Flex传感器连接到所有手指,并使用Arduino UNO微控制器与计算机连接。传感器首先在三个不同的方向上帮助手臂,它会感应是否抓住了物体。在第二步中,它确定对象之间的摩擦系数。最终,它抓住了物体并停止了运动。假手的主要问题之一是要有能力满足扭矩,速度和潜伏期的每个细节。在这项研究中,我们开发了经过修改的机器人手模型。将抓握的适应性与自由度(DOF)以及手指的数量进行比较。我们正在通过基于传感器的信号控制系统来控制我们的手。该想法是设计一种成本低,易于使用且重量轻的机器人手,这有助于截肢者在日常生活中轻松使用它。所提出的控制方法的有效性通过仿真得到了验证和验证。

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