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Shape Recognition and Optimal Grasping of Unknown Objects by Soft-Fingered Robotic Hands with Camera

机译:用相机柔软手指机器人手形状识别和最佳掌握未知物体

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In this paper a method is proposed for shape recognition and grasping of unknown objects using a robotic hand with two soft fingers and one omnidirectional camera. For shape recognition, we propose to use a simple 2D version of the visual volume intersection method to obtain the visual hull of the object in a horizontal plane from multiple images taken from different positions around the object. For grasping we propose a simple grasp quality criterion to obtain the best grasping position for the two soft fingers based on the obtained visual hull. We conducted several experiments to show the validity of the proposed method.
机译:在本文中,提出了一种用于使用具有两个软手指的机器人手和一个全向相机的机器人的形状识别和抓住未知物体的方法。对于形状识别,我们建议使用简单的2D版本的视觉体积交叉方法,以从来自对象周围的不同位置拍摄的多个图像中获得物体的视觉壳体。对于掌握,我们提出了一种简单的掌握质量标准,以基于所获得的视觉船体获得两个软手指的最佳抓握位置。我们进行了几个实验,以显示了所提出的方法的有效性。

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