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Integrated control of a multi-fingered hand and arm using proximity sensors on the fingertips

机译:使用指尖上的接近传感器对多指手和手臂进行集成控制

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In this study, we propose integrated control of a robotic hand and arm using only proximity sensing from the fingertips. An integrated control scheme for the fingers and for the arm enables quick control of the position and posture of the arm by placing the fingertips adjacent to the surface of an object to be grasped. The arm control scheme enables adjustments based on errors in hand position and posture that would be impossible to achieve by finger motions alone, thus allowing the fingers to grasp an object in a laterally symmetric grasp. This can prevent grasp failures such as a finger pushing the object out of the hand or knocking the object over. Proposed control of the arm and hand allowed correction of position errors on the order of several centimeters. For example, an object on a workbench that is in an uncertain positional relation with the robot, with an inexpensive optical sensor such as a Kinect, which only provides coarse image data, would be sufficient for grasping an object.
机译:在这项研究中,我们建议仅使用指尖的接近感测来对机械手和手臂进行集成控制。手指和手臂的集成控制方案通过将指尖放置在要抓握的物体的表面附近,可以快速控制手臂的位置和姿势。手臂控制方案可根据手的位置和姿势的错误进行调整,而这仅靠手指运动是不可能实现的,因此,手指可以横向对称地抓握物体。这可以防止抓握失败,例如手指将物体从手中推出或将物体翻倒。提议的手臂和手部控制允许纠正几厘米量级的位置误差。例如,在工作台上与机器人处于不确定位置关系的物体,而价格便宜的光学传感器(例如Kinect)仅提供粗糙的图像数据,对于抓取物体就足够了。

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