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Learning Predictive Representations for Deformable Objects Using
  Contrastive Estimation

Learning Predictive Representations for Deformable Objects Using Contrastive Estimation

11 March 2020
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
ArXivPDFHTML

Papers citing "Learning Predictive Representations for Deformable Objects Using Contrastive Estimation"

22 / 122 papers shown
Title
Cloth Manipulation Planning on Basis of Mesh Representations with
  Incomplete Domain Knowledge and Voxel-to-Mesh Estimation
Cloth Manipulation Planning on Basis of Mesh Representations with Incomplete Domain Knowledge and Voxel-to-Mesh Estimation
S. Arnold
Daisuke Tanaka
Kimitoshi Yamazaki
22
4
0
15 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent
  Space Roadmap
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
M. Lippi
Petra Poklukar
Michael C. Welle
Anastasia Varava
Hang Yin
Alessandro Marino
Danica Kragic
21
13
0
03 Mar 2021
Reinforcement Learning with Prototypical Representations
Reinforcement Learning with Prototypical Representations
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
SSL
23
218
0
22 Feb 2021
VisuoSpatial Foresight for Physical Sequential Fabric Manipulation
VisuoSpatial Foresight for Physical Sequential Fabric Manipulation
Ryan Hoque
Daniel Seita
Ashwin Balakrishna
Aditya Ganapathi
A. Tanwani
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
25
36
0
19 Feb 2021
Systematic Generalization in Neural Networks-based Multivariate Time
  Series Forecasting Models
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models
Hritik Bansal
Gantavya Bhatt
Pankaj Malhotra
Prathosh A.P.
CML
AI4TS
14
0
0
10 Feb 2021
Towards Latent Space Based Manipulation of Elastic Rods using
  Autoencoder Models and Robust Centerline Extractions
Towards Latent Space Based Manipulation of Elastic Rods using Autoencoder Models and Robust Centerline Extractions
J. Qi
G. Ma
Peng Zhou
Haibo Zhang
Yueyong Lyu
D. Navarro-Alarcon
23
15
0
19 Jan 2021
Playing with Food: Learning Food Item Representations through
  Interactive Exploration
Playing with Food: Learning Food Item Representations through Interactive Exploration
A. Sawhney
Steven Lee
Kevin Zhang
Manuela Veloso
Oliver Kroemer
46
23
0
06 Jan 2021
Learning Cross-Domain Correspondence for Control with Dynamics
  Cycle-Consistency
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang
Tete Xiao
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
17
62
0
17 Dec 2020
Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS
  2020 Workshop
Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop
Sebastian Hofer
Kostas Bekris
Ankur Handa
Juan Camilo Gamboa
Florian Golemo
...
C. Karen Liu
Jan Peters
Shuran Song
Peter Welinder
M. White
29
53
0
07 Dec 2020
Robust Policies via Mid-Level Visual Representations: An Experimental
  Study in Manipulation and Navigation
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
Jitendra Malik
Lerrel Pinto
14
42
0
13 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic
  Reinforcement Learning
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning
Jun Jin
D. Graves
Cameron Haigh
Jun Luo
Martin Jägersand
SSL
OffRL
12
6
0
11 Nov 2020
Untangling Dense Knots by Learning Task-Relevant Keypoints
Untangling Dense Knots by Learning Task-Relevant Keypoints
J. Grannen
Priya Sundaresan
Brijen Thananjeyan
Jeffrey Ichnowski
Ashwin Balakrishna
M. Hwang
Vainavi Viswanath
Michael Laskey
Joseph E. Gonzalez
Ken Goldberg
27
48
0
10 Nov 2020
Robots of the Lost Arc: Self-Supervised Learning to Dynamically
  Manipulate Fixed-Endpoint Cables
Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables
Harry Zhang
Jeffrey Ichnowski
Daniel Seita
Jonathan Wang
Huang Huang
Ken Goldberg
29
42
0
10 Nov 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
CLOUD: Contrastive Learning of Unsupervised Dynamics
Jianren Wang
Yujie Lu
Hang Zhao
28
5
0
23 Oct 2020
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot
  Experience
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Robert Lee
Daniel Ward
Akansel Cosgun
Vibhavari Dasagi
Peter Corke
Jurgen Leitner
SSL
25
66
0
07 Oct 2020
Encoding cloth manipulations using a graph of states and transitions
Encoding cloth manipulations using a graph of states and transitions
Júlia Borràs Sol
Guillem Alenyà
Carme Torras
16
6
0
30 Sep 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based
  Reinforcement Learning
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
Lucas Manuelli
Yunzhu Li
Peter R. Florence
Russ Tedrake
SSL
22
102
0
10 Sep 2020
Naive Artificial Intelligence
Naive Artificial Intelligence
T. Barak
Yehonatan Avidan
Y. Loewenstein
14
0
0
04 Sep 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination
  without Reconstruction
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
Masashi Okada
T. Taniguchi
OffRL
37
84
0
29 Jul 2020
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
41
159
0
08 Jul 2020
Learning Dense Visual Correspondences in Simulation to Smooth and Fold
  Real Fabrics
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
Aditya Ganapathi
Priya Sundaresan
Brijen Thananjeyan
Ashwin Balakrishna
Daniel Seita
...
Joseph E. Gonzalez
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
19
27
0
28 Mar 2020
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