activity
20192026
most citedToward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

32 citations · 59 across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

eess.IV2019

Deep Learning-Based Semantic Segmentation of Microscale Objects

Ekta U. Samani, Wei Guo, Ashis G. Banerjee

Accurate estimation of the positions and shapes of microscale objects is crucial for automated imaging-guided manipulation using a non-contact technique such as optical tweezers. P…

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…