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Development of artificial hand gripper by using flex force sensor

机译:利用弯曲力传感器开发人工手爪

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A human hand is a very complex grasping tool which can handle object of different sizes and shapes. Many research works have been done to develop an artificial robot hands with similar capabilities to a human hand, such a robot hand is also called a multi finger gripper. Most parts of this research are dedicated to control of multi finger grippers with emphasis on the finger tips or finger joints. By controlling a multi finger gripper, we enable the gripper to handle an object; in another words, controlling a multi finger gripper can be viewed in terms of controlling an object's pose and the forces between the object and its environment. Hence, an object pose controller with feedback from an object pose sensor suits multi finger gripper control. Also due to the non-linear dynamic system behavior in the joints of most multi finger grippers, an effective, easily-adaptable joint controller is employed. The paper discusses the object pose controller with great detail in a new joint controller. Since the joint controller is based on microcontroller and we do not use an exact analytical model for this case.
机译:人的手是非常复杂的抓握工具,可以处理不同大小和形状的物体。已经进行了许多研究工作来开发具有与人类手相似的功能的人造机器人手,这种机器人手也被称为多手指抓手。本研究的大部分内容都致力于控制多指抓手,重点放在指尖或手指关节上。通过控制多指抓取器,我们使抓取器可以处理物体;换句话说,可以通过控制对象的姿势以及对象与环境之间的作用力来控制多指抓取器。因此,具有来自物体姿势传感器的反馈的物体姿势控制器适合于多手指抓持器控制。同样由于大多数多手指抓取器的关节中的非线性动态系统行为,因此采用了有效的,易于适应的关节控制器。本文在新的关节控制器中详细讨论了对象姿态控制器。由于联合控制器基于微控制器,因此在这种情况下我们不使用精确的分析模型。

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