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Analyzing Liquid Pouring Sequences via Audio-Visual Neural Networks.

IROS, pp.7702-7709, (2019)

Cited by: 1|Views84
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Abstract

Existing work to estimate the weight of a liquid poured into a target container often require predefined source weights or visual data. We present novel audio-based and audio-augmented techniques, in the form of multimodal convolutional neural networks (CNNs), to estimate poured weight, perform overflow detection, and classify liquid and ...More

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Auston Sterling
Auston Sterling
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