2019
Analyzing Liquid Pouring Sequences via Audio-Visual Neural Networks
IROS 2019poster
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 over…