A four-microphone acoustic system with a CNN achieves 14.1-degree mean directional error for continuous in-hand slip estimation and outperforms single-channel baselines.
arXiv preprint arXiv:2508.15990 (2025)
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
TouchAnything reconstructs accurate 3D object geometries from only a few tactile contacts by optimizing for consistency with a pretrained visual diffusion prior.
citing papers explorer
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A-SLIP: Acoustic Sensing for Continuous In-hand Slip Estimation
A four-microphone acoustic system with a CNN achieves 14.1-degree mean directional error for continuous in-hand slip estimation and outperforms single-channel baselines.
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TouchAnything: Diffusion-Guided 3D Reconstruction from Sparse Robot Touches
TouchAnything reconstructs accurate 3D object geometries from only a few tactile contacts by optimizing for consistency with a pretrained visual diffusion prior.