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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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07/28/2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
We study how vision-language models trained on Internet-scale data can b...
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05/24/2023
Barkour: Benchmarking Animal-level Agility with Quadruped Robots
Animals have evolved various agile locomotion strategies, such as sprint...
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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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12/13/2022
RT-1: Robotics Transformer for Real-World Control at Scale
By transferring knowledge from large, diverse, task-agnostic datasets, m...
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04/25/2022
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items
Interactive 3D simulations have enabled breakthroughs in robotics and co...
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04/21/2022
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research
Autonomous fabric manipulation is a longstanding challenge in robotics, ...
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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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04/01/2022
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Large foundation models can exhibit unique capabilities depending on the...
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11/23/2020
Mechanical Search on Shelves using Lateral Access X-RAY
Efficiently finding an occluded object with lateral access arises in man...
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05/19/2020
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization
Mapping and localization, preferably from a small number of observations...
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04/20/2020
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions
For applications in e-commerce, warehouses, healthcare, and home service...
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10/07/2019
Policies Modulating Trajectory Generators
We propose an architecture for learning complex controllable behaviors b...
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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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06/27/2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
In this paper, we study the problem of learning vision-based dynamic man...
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04/27/2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Designing agile locomotion for quadruped robots often requires extensive...
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03/27/2018
Classification of crystallization outcomes using deep convolutional neural networks
The Machine Recognition of Crystallization Outcomes (MARCO) initiative h...
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09/22/2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Instrumenting and collecting annotated visual grasping datasets to train...
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09/08/2017
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow
We introduce TensorFlow Agents, an efficient infrastructure paradigm for...
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02/02/2017
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
We introduce a new large-scale data set of video URLs with densely-sampl...
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03/14/2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow is an interface for expressing machine learning algorithms, a...
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02/23/2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Very deep convolutional networks have been central to the largest advanc...
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12/02/2015
Rethinking the Inception Architecture for Computer Vision
Convolutional networks are at the core of most state-of-the-art computer...
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09/17/2014