research
∙
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...
share
research
∙
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...
research
∙
03/06/2023
PaLM-E: An Embodied Multimodal Language Model
Large language models excel at a wide range of complex tasks. However, e...
research
∙
11/21/2022
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
In recent years, much progress has been made in learning robotic manipul...
research
∙
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...
research
∙
07/12/2022
Inner Monologue: Embodied Reasoning through Planning with Language Models
Recent works have shown how the reasoning capabilities of Large Language...
research
∙
05/12/2022
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations
Perceptual understanding of the scene and the relationship between its d...
research
∙
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...
research
∙
04/29/2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Self-supervised learning algorithms based on instance discrimination tra...
research
∙
10/13/2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
Long-horizon planning in realistic environments requires the ability to ...
research
∙
06/27/2020
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
We present an approach for estimating the period with which an action is...
research
∙
06/11/2020
Learning to Play by Imitating Humans
Acquiring multiple skills has commonly involved collecting a large numbe...
research
∙
05/31/2020
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos
Learning meaningful visual representations in an embedding space can fac...
research
∙
05/15/2020
Grounding Language in Play
Natural language is perhaps the most versatile and intuitive way for hum...
research
∙
06/10/2019
Online Object Representations with Contrastive Learning
We propose a self-supervised approach for learning representations of ob...
research
∙
04/16/2019
Temporal Cycle-Consistency Learning
We introduce a self-supervised representation learning method based on t...
research
∙
03/28/2019
Wasserstein Dependency Measure for Representation Learning
Mutual information maximization has emerged as a powerful learning objec...
research
∙
03/05/2019
Learning Latent Plans from Play
We propose learning from teleoperated play data (LfP) as a way to scale ...
research
∙
08/02/2018
Learning Actionable Representations from Visual Observations
In this work we explore a new approach for robots to teach themselves ab...
research
∙
12/20/2016
Unsupervised Perceptual Rewards for Imitation Learning
Reward function design and exploration time are arguably the biggest obs...
research
∙
12/22/2014
Attention for Fine-Grained Categorization
This paper presents experiments extending the work of Ba et al. (2014) o...
research
∙
09/17/2014
Going Deeper with Convolutions
We propose a deep convolutional neural network architecture codenamed "I...
research
∙
12/21/2013
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
We present an integrated framework for using Convolutional Networks for ...
research
∙
12/01/2012
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
Pedestrian detection is a problem of considerable practical interest. Ad...
research
∙
04/18/2012