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05/05/2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
We describe a system for deep reinforcement learning of robotic manipula...
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02/04/2022
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
In this paper, we study the problem of enabling a vision-based robotic m...
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05/13/2020
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
This paper introduces Action Image, a new grasp proposal representation ...
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02/25/2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
While robot learning has demonstrated promising results for enabling rob...
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06/07/2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
Imitation learning allows agents to learn complex behaviors from demonst...
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09/19/2018
Leveraging Contact Forces for Learning to Grasp
Grasping objects under uncertainty remains an open problem in robotics r...
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09/10/2018
Grasp success prediction with quality metrics
Current robotic manipulation requires reliable methods to predict whethe...
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01/09/2018
Riemannian Motion Policies
This paper introduces a new mathematical object for modular motion gener...
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10/06/2017
