Search Results for author: David Khosid

Found 2 papers, 1 papers with code

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

1 code implementation • 12 Oct 2021 • Alex X. Lee, Coline Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin Riedmiller, Raia Hadsell, Francesco Nori

We study the problem of robotic stacking with objects of complex geometry.

Ranked #2 on Skill Generalization on RGB-Stacking

Offline RL Reinforcement Learning (RL) +2

121

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

no code implementations • 21 Oct 2019 • Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori

In this work, we learn a latent state representation implicitly with deep reinforcement learning in simulation, and then adapt it to the real domain using unlabeled real robot data.

Deep Reinforcement Learning Domain Adaptation +2

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