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Grasp2Vec: Learning Object Representations from Self-Supervised Grasping

Grasp2Vec: Learning Object Representations from Self-Supervised Grasping

16 November 2018
Eric Jang
Coline Devin
Vincent Vanhoucke
Sergey Levine
    SSL
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Papers citing "Grasp2Vec: Learning Object Representations from Self-Supervised Grasping"

29 / 29 papers shown
Title
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Kevin Garcia
Juan Manuel Perez
Yifeng Gao
AI4TS
50
0
0
14 Feb 2025
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning
  for Voice-Controlled Robots
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
Peixin Chang
Shuijing Liu
Tianchen Ji
Neeloy Chakraborty
Kaiwen Hong
Katherine Driggs-Campbell
51
3
0
23 Jan 2023
Graph Inverse Reinforcement Learning from Diverse Videos
Graph Inverse Reinforcement Learning from Diverse Videos
Sateesh Kumar
Jonathan Zamora
Nicklas Hansen
Rishabh Jangir
Xiaolong Wang
35
53
0
28 Jul 2022
Efficient and Robust Training of Dense Object Nets for Multi-Object
  Robot Manipulation
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
David B. Adrian
A. Kupcsik
Markus Spies
Heiko Neumann
3DPC
48
7
0
24 Jun 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
Philippe Hansen-Estruch
Amy Zhang
Ashvin Nair
Patrick Yin
Sergey Levine
AI4CE
29
27
0
27 Apr 2022
Optimizing the Long-Term Behaviour of Deep Reinforcement Learning for
  Pushing and Grasping
Optimizing the Long-Term Behaviour of Deep Reinforcement Learning for Pushing and Grasping
Rodrigo Chau
33
0
0
07 Apr 2022
Denoised Labels for Financial Time-Series Data via Self-Supervised
  Learning
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning
Yanqing Ma
Carmine Ventre
M. Polukarov
NoLa
23
7
0
19 Dec 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D
  Consistency
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
Devendra Singh Chaplot
Murtaza Dalal
Saurabh Gupta
Jitendra Malik
Ruslan Salakhutdinov
27
74
0
02 Dec 2021
GATER: Learning Grasp-Action-Target Embeddings and Relations for
  Task-Specific Grasping
GATER: Learning Grasp-Action-Target Embeddings and Relations for Task-Specific Grasping
Mingdong Sun
Yue Gao
25
14
0
27 Nov 2021
Distribution Estimation to Automate Transformation Policies for
  Self-Supervision
Distribution Estimation to Automate Transformation Policies for Self-Supervision
Seunghan Yang
Debasmit Das
Simyung Chang
Sungrack Yun
Fatih Porikli
9
6
0
24 Nov 2021
Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects
Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects
Jeffrey Ichnowski
Yahav Avigal
J. Kerr
Ken Goldberg
42
169
0
27 Oct 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks
Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks
Mirko Nava
Antonio Paolillo
Jérôme Guzzi
L. Gambardella
Alessandro Giusti
SSL
21
15
0
22 Mar 2021
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
25
120
0
11 Feb 2021
Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan
Yu Zheng
Wei Ao
Xiao Zeng
Mi Zhang
SSL
AI4CE
30
99
0
12 Jun 2020
Visual Task Progress Estimation with Appearance Invariant Embeddings for
  Robot Control and Planning
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning
Guilherme J. Maeda
Joni Väätäinen
Hironori Yoshida
22
2
0
16 Mar 2020
Self-supervised Point Set Local Descriptors for Point Cloud Registration
Self-supervised Point Set Local Descriptors for Point Cloud Registration
Yijun Yuan
Jiawei Hou
A. Nüchter
Sören Schwertfeger
3DPC
25
26
0
11 Mar 2020
Learning Rope Manipulation Policies Using Dense Object Descriptors
  Trained on Synthetic Depth Data
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
Priya Sundaresan
J. Grannen
Brijen Thananjeyan
Ashwin Balakrishna
Michael Laskey
Kevin Stone
Joseph E. Gonzalez
Ken Goldberg
20
122
0
03 Mar 2020
Self-Supervised Joint Encoding of Motion and Appearance for First Person
  Action Recognition
Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition
M. Planamente
A. Bottino
Barbara Caputo
EgoV
23
3
0
10 Feb 2020
DGCM-Net: Dense Geometrical Correspondence Matching Network for
  Incremental Experience-based Robotic Grasping
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping
T. Patten
Kiru Park
Markus Vincze
26
31
0
15 Jan 2020
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered
  Scenes
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
Yuzhe Qin
Rui Chen
Hao Zhu
Meng Song
Jing Xu
Hao Su
22
156
0
31 Oct 2019
Towards Object Detection from Motion
Towards Object Detection from Motion
Rico Jonschkowski
Austin Stone
23
2
0
17 Sep 2019
Adversarial Feature Training for Generalizable Robotic Visuomotor
  Control
Adversarial Feature Training for Generalizable Robotic Visuomotor Control
Xi Chen
Ali Ghadirzadeh
Mårten Björkman
Patric Jensfelt
14
13
0
17 Sep 2019
A Deep Learning Approach to Grasping the Invisible
A Deep Learning Approach to Grasping the Invisible
Yang Yang
Hengyue Liang
Changhyun Choi
27
94
0
11 Sep 2019
Word2vec to behavior: morphology facilitates the grounding of language
  in machines
Word2vec to behavior: morphology facilitates the grounding of language in machines
David Matthews
Sam Kriegman
C. Cappelle
Josh Bongard
LM&Ro
16
6
0
03 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
8
327
0
28 Jul 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
36
356
0
06 Jul 2019
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep
  Point Cloud Prediction Networks
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Xinchen Yan
Mohi Khansari
Jasmine Hsu
Yuanzheng Gong
Yunfei Bai
Soren Pirk
Honglak Lee
3DPC
13
32
0
21 Jun 2019
High-Fidelity Image Generation With Fewer Labels
High-Fidelity Image Generation With Fewer Labels
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
GAN
OOD
36
157
0
06 Mar 2019
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