most citedToward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

32 citations · 32 across the 1 of their papers we have counts for

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cs.RO2019★ 32 cited

Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

Behnoosh Parsa, Ekta U. Samani, Rose Hendrix +4

Automated real-time prediction of the ergonomic risks of manipulating objects is a key unsolved challenge in developing effective human-robot collaboration systems for logistics an…