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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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04/05/2022
Jump-Start Reinforcement Learning
Reinforcement learning (RL) provides a theoretical framework for continu...
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04/04/2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Large language models can encode a wealth of semantic knowledge about th...
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11/09/2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Robotic skills can be learned via imitation learning (IL) using user-pro...
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09/18/2020
GRAC: Self-Guided and Self-Regularized Actor-Critic
Deep reinforcement learning (DRL) algorithms have successfully been demo...
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09/05/2020
Learning Topological Motion Primitives for Knot Planning
In this paper, we approach the challenging problem of motion planning fo...
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05/14/2020
How to Close Sim-Real Gap? Transfer with Segmentation!
One fundamental difficulty in robotic learning is the sim-real gap probl...
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11/14/2019
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
We demonstrate model-based, visual robot manipulation of linear deformab...
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10/21/2019
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
Understanding dynamic 3D environment is crucial for robotic agents and m...
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04/15/2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping
Many previous works approach vision-based robotic grasping by training a...
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12/08/2017
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
In the context of deep learning for robotics, we show effective method o...
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06/02/2016
Convolutional Imputation of Matrix Networks
A matrix network is a family of matrices, where the relationship between...
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04/12/2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
3D shape models are becoming widely available and easier to capture, mak...
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06/20/2015
