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David Khosid

2 accepted papers

2021

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

CoRL 2021poster

We study the problem of robotic stacking with objects of complex geometry. We propose a challenging and diverse set of such objects that was carefully designed to require strategies beyond a simple “pick-and-place” solution. Our method is a reinforcement learning (RL) approach combined with vision-b…

Cited by 118SourcecodeScholar
2020

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation

ICRA 2020poster

Collecting and automatically obtaining reward signals from real robotic visual data for the purposes of training reinforcement learning algorithms can be quite challenging and time-consuming. Methods for utilizing unlabeled data can have a huge potential to further accelerate robotic learning. We co…

Cited by 78SourceScholar