利用新型可视触觉手掌传感器进行主动形状重建

Jingyi Hu , Shaowei Cui , Shuo Wang , Rui Wang , Yu Wang
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引用次数: 0

摘要

当视觉受到限制时,触觉传感可以实现高精度的三维形状感知。然而,基于触觉的形状重建仍然是一个具有挑战性的问题。本文提出了一种新型视觉触觉传感器--GelStereo Palm 2.0,以更好地捕捉三维接触几何形状。利用 GelStereo Palm 2.0 捕获的密集触觉点云,提出了一种主动形状重建管道,以在不规则表面上实现准确高效的三维形状重建。GelStereo Palm 2.0 的空间分辨率为 1.5 毫米,重建精度为 0.3 毫米。在 18 次探索中,所提出的主动形状重建管道的精确度达到了 2.3 毫米。该方法有望应用于透明或水下物体的形状重建。
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Active shape reconstruction using a novel visuotactile palm sensor

Tactile sensing enables high-precision 3D shape perception when vision is limited. However, tactile-based shape reconstruction remains a challenging problem. In this paper, a novel visuotactile sensor, GelStereo Palm 2.0, is proposed to better capture 3D contact geometry. Leveraging the dense tactile point cloud captured by GelStereo Palm 2.0, an active shape reconstruction pipeline is presented to achieve accurate and efficient 3D shape reconstruction on irregular surfaces. GelStereo Palm 2.0 achieves a spatial resolution of 1.5 mm and a reconstruction accuracy of 0.3 mm. The accuracy of the proposed active shape reconstruction pipeline reaches 2.3 mm within 18 explorations. The proposed method has potential applications in the shape reconstruction of transparent or underwater objects.

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