Neuroplanners for hand/eye coordination

D. H. Graf, W. LaLonde
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引用次数: 21

Abstract

The authors generalize a previously described architecture, which they now call a neuroplanner, and apply it to an extension of the problem it was initially designed to solve-the target-directed control of a robot arm in an obstacle-cluttered workspace. By target directed they mean that the arm can position its end-effector at the point of gaze specified by a pair of stereo targetting cameras. Hence, the system is able to 'touch the point targetted by its eyes. The new design extends the targetting system to an articulated camera platform-the equivalent of the human eye-head-neck system. This permits the robot to solve the inverse problem: given the current configuration of the arm, the system is able to reorient the camera platform to focus on the end-effector. Because of obstacles, the camera platform will generally have to peer around obstacles that block its view. Hence the new system is able to move the eye-head-neck system to see the hand.<>
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手/眼协调神经规划师
作者概括了先前描述的一种架构,他们现在称之为神经规划器,并将其应用于最初设计解决的问题的扩展-在障碍物杂乱的工作空间中机器人手臂的目标定向控制。通过目标定向,他们的意思是手臂可以将其末端执行器定位在一对立体目标摄像机指定的注视点上。因此,系统能够触摸到它的眼睛所瞄准的点。新设计将瞄准系统扩展到一个铰接式相机平台,相当于人类的眼-头颈系统。这使得机器人能够解决反问题:给定手臂的当前配置,系统能够重新调整相机平台的方向,以聚焦于末端执行器。由于障碍物的存在,相机平台通常不得不在遮挡其视野的障碍物周围观察。因此,新系统能够移动眼-头颈系统来看到手。
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