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.
Adding internal audio sensing to internal vision en- ables human-like in-hand fabric recognition with soft robotic finger- tips
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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.