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09/06/2023
Robotic Table Tennis: A Case Study into a High Speed Learning System
We present a deep-dive into a real-world robotic learning system that, i...
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03/06/2023
PaLM-E: An Embodied Multimodal Language Model
Large language models excel at a wide range of complex tasks. However, e...
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10/12/2022
Interactive Language: Talking to Robots in Real Time
We present a framework for building interactive, real-time, natural lang...
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10/07/2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
Learning goal conditioned control in the real world is a challenging ope...
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05/12/2022
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations
Perceptual understanding of the scene and the relationship between its d...
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03/29/2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning
Reinforcement learning systems have the potential to enable continuous i...
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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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09/01/2021
Implicit Behavioral Cloning
We find that across a wide range of robot policy learning scenarios, tre...
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10/13/2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
Long-horizon planning in realistic environments requires the ability to ...
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06/11/2020
Learning to Play by Imitating Humans
Acquiring multiple skills has commonly involved collecting a large numbe...
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05/15/2020
Grounding Language in Play
Natural language is perhaps the most versatile and intuitive way for hum...
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10/25/2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
We present relay policy learning, a method for imitation and reinforceme...
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06/10/2019
Online Object Representations with Contrastive Learning
We propose a self-supervised approach for learning representations of ob...
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03/28/2019
Wasserstein Dependency Measure for Representation Learning
Mutual information maximization has emerged as a powerful learning objec...
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03/05/2019
Learning Latent Plans from Play
We propose learning from teleoperated play data (LfP) as a way to scale ...
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08/02/2018