activity
20192023
most citedLearning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

16 citations · 37 across the 5 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.RO2021

A Learned Stereo Depth System for Robotic Manipulation in Homes

Krishna Shankar, Mark Tjersland, Jeremy Ma +2

We present a passive stereo depth system that produces dense and accurate point clouds optimized for human environments, including dark, textureless, thin, reflective and specular…

cs.RO2021★ 14 cited

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo

Thomas Kollar, Michael Laskey, Kevin Stone +2

Robot manipulation of unknown objects in unstructured environments is a challenging problem due to the variety of shapes, materials, arrangements and lighting conditions. Even with…