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06/20/2023
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
The ability to leverage heterogeneous robotic experience from different ...
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05/06/2022
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation
Reinforcement learning (RL) has been shown to be effective at learning c...
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10/12/2021
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
We study the problem of robotic stacking with objects of complex geometr...
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07/28/2021
Fully Autonomous Real-World Reinforcement Learning for Mobile Manipulation
We study how robots can autonomously learn skills that require a combina...
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10/24/2020
Modularity Improves Out-of-Domain Instruction Following
We propose a modular architecture for following natural language instruc...
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08/26/2020
Self-Supervised Goal-Conditioned Pick and Place
Robots have the capability to collect large amounts of data autonomously...
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12/11/2019
SMiRL: Surprise Minimizing RL in Dynamic Environments
All living organisms struggle against the forces of nature to carve out ...
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10/30/2019
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control
Autonomous agents situated in real-world environments must be able to ma...
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05/16/2019
Monocular Plan View Networks for Autonomous Driving
Convolutions on monocular dash cam videos capture spatial invariances in...
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11/16/2018
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Well structured visual representations can make robot learning faster an...
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11/13/2018
Deep Object Centric Policies for Autonomous Driving
While learning visuomotor skills in an end-to-end manner is appealing, d...
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08/14/2017
Deep Object-Centric Representations for Generalizable Robot Learning
Robotic manipulation in complex open-world scenarios requires both relia...
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12/19/2014
Embedding Word Similarity with Neural Machine Translation
Neural language models learn word representations, or embeddings, that c...
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10/02/2014
