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Self-Supervised Correspondence in Visuomotor Policy Learning

Self-Supervised Correspondence in Visuomotor Policy Learning

16 September 2019
Peter R. Florence
Lucas Manuelli
Russ Tedrake
    SSL
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Papers citing "Self-Supervised Correspondence in Visuomotor Policy Learning"

43 / 43 papers shown
Title
Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations
Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations
Chikaha Tsuji
Enrique Coronado
Pablo Osorio
G. Venture
29
0
0
09 May 2025
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
Jan Ole von Hartz
Adrian Rofer
Joschka Boedecker
Abhinav Valada
39
0
0
06 May 2025
IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
Krishan Rana
Robert Lee
David Pershouse
Niko Suenderhauf
VGen
56
0
0
17 Feb 2025
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of
  Consistency and Progress
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress
Christopher Agia
Rohan Sinha
Jingyun Yang
Zi-ang Cao
Rika Antonova
Marco Pavone
Jeannette Bohg
31
7
0
06 Oct 2024
IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition
IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition
Rui Liu
Zahiruddin Mahammad
Amisha Bhaskar
Pratap Tokekar
23
1
0
18 Sep 2024
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation
Junbang Liang
Ruoshi Liu
Ege Ozguroglu
Sruthi Sudhakar
Achal Dave
P. Tokmakov
Shuran Song
Carl Vondrick
VGen
42
23
0
24 Jun 2024
Learning Prehensile Dexterity by Imitating and Emulating State-only
  Observations
Learning Prehensile Dexterity by Imitating and Emulating State-only Observations
Yunhai Han
Zhenyang Chen
Harish Ravichandar
30
5
0
08 Apr 2024
Generalizable Imitation Learning Through Pre-Trained Representations
Generalizable Imitation Learning Through Pre-Trained Representations
Wei-Di Chang
F. Hogan
D. Meger
Gregory Dudek
Gregory Dudek
41
1
0
15 Nov 2023
Learning Generalizable Manipulation Policies with Object-Centric 3D
  Representations
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
Yifeng Zhu
Zhenyu Jiang
Peter Stone
Yuke Zhu
3DPC
24
43
0
22 Oct 2023
CCIL: Continuity-based Data Augmentation for Corrective Imitation
  Learning
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning
Liyiming Ke
Yunchu Zhang
Abhay Deshpande
S. Srinivasa
Abhishek Gupta
OffRL
27
12
0
19 Oct 2023
Doduo: Learning Dense Visual Correspondence from Unsupervised
  Semantic-Aware Flow
Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang
Hanwen Jiang
Yuke Zhu
VOS
27
4
0
26 Sep 2023
Few-Shot Learning of Force-Based Motions From Demonstration Through
  Pre-training of Haptic Representation
Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation
Marina Y. Aoyama
João Moura
Namiko Saito
S. Vijayakumar
21
5
0
08 Sep 2023
Robust Visual Sim-to-Real Transfer for Robotic Manipulation
Robust Visual Sim-to-Real Transfer for Robotic Manipulation
Ricardo Garcia Pinel
Robin Strudel
Shizhe Chen
Etienne Arlaud
Ivan Laptev
Cordelia Schmid
OffRL
28
4
0
28 Jul 2023
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
Bokui (William) Shen
Ge Yang
Alan Yu
J. Wong
L. Kaelbling
Phillip Isola
VLM
29
104
0
27 Jul 2023
Chain-of-Thought Predictive Control
Chain-of-Thought Predictive Control
Zhiwei Jia
Vineet Thumuluri
Fangchen Liu
Ling-Hao Chen
Zhiao Huang
H. Su
LM&Ro
39
20
0
03 Apr 2023
VIMA: General Robot Manipulation with Multimodal Prompts
VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang
Agrim Gupta
Zichen Zhang
Guanzhi Wang
Yongqiang Dou
Yanjun Chen
Li Fei-Fei
Anima Anandkumar
Yuke Zhu
Linxi Fan
LM&Ro
28
335
0
06 Oct 2022
Entropy-driven Unsupervised Keypoint Representation Learning in Videos
Entropy-driven Unsupervised Keypoint Representation Learning in Videos
A. Younes
Simone Schaub-Meyer
Georgia Chalvatzaki
SSL
33
0
0
30 Sep 2022
Unsupervised Reward Shaping for a Robotic Sequential Picking Task from
  Visual Observations in a Logistics Scenario
Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario
Vittorio Giammarino
Andrew J Meyer
Kai Biegun
OffRL
21
0
0
25 Sep 2022
Learning Dense Visual Descriptors using Image Augmentations for Robot
  Manipulation Tasks
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks
Christian Graf
David B. Adrian
Joshua Weil
Miroslav Gabriel
Philipp Schillinger
Markus Spies
Heiko Neumann
A. Kupcsik
SSL
32
6
0
12 Sep 2022
K-VIL: Keypoints-based Visual Imitation Learning
K-VIL: Keypoints-based Visual Imitation Learning
Jianfeng Gao
Z. Tao
Noémie Jaquier
Tamim Asfour
VGen
SSL
47
23
0
07 Sep 2022
Graph Inverse Reinforcement Learning from Diverse Videos
Graph Inverse Reinforcement Learning from Diverse Videos
Sateesh Kumar
Jonathan Zamora
Nicklas Hansen
Rishabh Jangir
Xiaolong Wang
32
53
0
28 Jul 2022
Transformers are Adaptable Task Planners
Transformers are Adaptable Task Planners
Vidhi Jain
Yixin Lin
Eric Undersander
Yonatan Bisk
Akshara Rai
25
24
0
06 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
45
7
0
24 Jun 2022
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Andy Zeng
Maria Attarian
Brian Ichter
K. Choromanski
Adrian S. Wong
...
Michael S. Ryoo
Vikas Sindhwani
Johnny Lee
Vincent Vanhoucke
Peter R. Florence
ReLM
LRM
18
572
0
01 Apr 2022
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance
  Fields
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields
Lin Yen-Chen
Peter R. Florence
Jonathan T. Barron
Nayeon Lee
Alberto Rodriguez
Phillip Isola
36
120
0
03 Mar 2022
You Only Demonstrate Once: Category-Level Manipulation from Single
  Visual Demonstration
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
Bowen Wen
Wenzhao Lian
Kostas Bekris
S. Schaal
22
90
0
30 Jan 2022
Deep Visual Constraints: Neural Implicit Models for Manipulation
  Planning from Visual Input
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input
Jung-Su Ha
Danny Driess
Marc Toussaint
27
12
0
09 Dec 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Norman Di Palo
Edward Johns
SSL
32
23
0
14 Nov 2021
CLIPort: What and Where Pathways for Robotic Manipulation
CLIPort: What and Where Pathways for Robotic Manipulation
Mohit Shridhar
Lucas Manuelli
D. Fox
LM&Ro
65
629
0
24 Sep 2021
Demonstration-Efficient Guided Policy Search via Imitation of Robust
  Tube MPC
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC
Andrea Tagliabue
Dong-Ki Kim
M. Everett
Jonathan P. How
56
22
0
21 Sep 2021
Bundled Gradients through Contact via Randomized Smoothing
Bundled Gradients through Contact via Randomized Smoothing
H. Suh
Tao Pang
Russ Tedrake
83
52
0
11 Sep 2021
Implicit Behavioral Cloning
Implicit Behavioral Cloning
Peter R. Florence
Corey Lynch
Andy Zeng
Oscar Ramirez
Ayzaan Wahid
Laura Downs
Adrian S. Wong
Johnny Lee
Igor Mordatch
Jonathan Tompson
OffRL
49
368
0
01 Sep 2021
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating
  3D ARTiculated Objects
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Ruihai Wu
Yan Zhao
Kaichun Mo
Zizheng Guo
Yian Wang
Tianhao Wu
Qingnan Fan
Xuelin Chen
Leonidas J. Guibas
Hao Dong
41
90
0
28 Jun 2021
XIRL: Cross-embodiment Inverse Reinforcement Learning
XIRL: Cross-embodiment Inverse Reinforcement Learning
Kevin Zakka
Andy Zeng
Peter R. Florence
Jonathan Tompson
Jeannette Bohg
Debidatta Dwibedi
SSL
35
118
0
07 Jun 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement
  Learning
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha
Ajay Mandlekar
Animesh Garg
OffRL
26
104
0
10 Mar 2021
kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation
kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation
Wei Gao
Russ Tedrake
27
71
0
11 Feb 2021
Reinforcement Learning with Videos: Combining Offline Observations with
  Interaction
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
Chelsea Finn
OffRL
16
105
0
12 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
MELD: Meta-Reinforcement Learning from Images via Latent State Models
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
32
36
0
26 Oct 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
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
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
17
2
0
16 Mar 2020
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
162
275
0
07 Jul 2017
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