English(EN) Proximity3D: Shape from Capacitive Proximity on Sensing Manifold

Proximity3D：新方法从弯曲电容传感器重建三维形状

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员开发了 Proximity3D，一种利用弯曲传感流形上的电容式接近场重建三维形状的新颖方法。与依赖于平面域（如 RGB 图像）的传统方法不同，Proximity3D 利用柔性电容纺织品捕获由物体几何形状引起的接近信号。然后，一个多视图前馈模型聚合这些信号来重建物体的形状，在模拟和物理实验中都展示了强大的性能，以增强机器人近场几何感知能力。 AI

影响这项研究可能带来更复杂的机器人本体感知，从而实现更好的近场几何感知和操作能力。

排序理由该集群描述了一篇详细介绍新颖技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Hao Chen, Chenming Wu, Chun Ping Lam, Xiangjia Chen, Guoxin Fang, Charlie C. L. Wang, Yeung Yam, Juncong Lin, Chengkai Dai · 2026-09-01 04:00

Proximity3D：基于传感流形上的电容式接近传感的形状感知

arXiv:2608.30344v1 Announce Type: new Abstract: Most shape reconstruction methods assume measurements defined over planar sensing domains, such as RGB images or depth maps. In this paper, we use a curved capacitive textile as a shape sensor, treating its surface as a non-planar s…

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Proximity3D：基于传感流形上的电容式接近传感的形状感知

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