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Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning
v1v2v3 (latest)

Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning

5 November 2024
George Jiayuan Gao
Tianyu Li
Nadia Figueroa
ArXiv (abs)PDFHTML

Papers citing "Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning"

33 / 33 papers shown
Title
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion Models
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
212
38
0
13 Mar 2025
RACER: Rich Language-Guided Failure Recovery Policies for Imitation
  Learning
RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning
Yinpei Dai
Jayjun Lee
Nima Fazeli
Joyce Chai
51
13
0
23 Sep 2024
From Imitation to Refinement -- Residual RL for Precise Visual Assembly
From Imitation to Refinement -- Residual RL for Precise Visual Assembly
Lars Ankile
Anthony Simeonov
Idan Shenfeld
M. Torné
Pulkit Agrawal
OffRL
93
11
0
23 Jul 2024
Flow as the Cross-Domain Manipulation Interface
Flow as the Cross-Domain Manipulation Interface
Mengda Xu
Zhenjia Xu
Yinghao Xu
Cheng Chi
Gordon Wetzstein
Manuela Veloso
Shuran Song
AI4CE
128
46
0
21 Jul 2024
Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
Cristina Cornelio
Mohammed Diab
OffRL
69
9
0
31 Mar 2024
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
Tianhe Ren
Shilong Liu
Ailing Zeng
Jing Lin
Kunchang Li
...
Feng Li
Jie Yang
Hongyang Li
Qing Jiang
Lei Zhang
VLM
137
447
0
25 Jan 2024
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost
  Whole-Body Teleoperation
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Zipeng Fu
Tony Zhao
Chelsea Finn
206
328
0
04 Jan 2024
Any-point Trajectory Modeling for Policy Learning
Any-point Trajectory Modeling for Policy Learning
Chuan Wen
Xingyu Lin
John So
Kai-xiang Chen
Qi Dou
Yang Gao
Pieter Abbeel
PINNVGen
120
98
0
28 Dec 2023
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Bowen Wen
Wei Yang
Jan Kautz
Stanley T. Birchfield
86
209
0
13 Dec 2023
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers
P. Ausserlechner
David Haberger
Stefan Thalhammer
Jean-Baptiste Weibel
Markus Vincze
63
30
0
21 Sep 2023
Waypoint-Based Imitation Learning for Robotic Manipulation
Waypoint-Based Imitation Learning for Robotic Manipulation
Lu Shi
Archit Sharma
Tony Zhao
Chelsea Finn
109
60
0
26 Jul 2023
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
Yang Hai
Rui Song
Jiaojiao Li
Yinlin Hu
3DPC
74
24
0
23 Jun 2023
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Tony Zhao
Vikash Kumar
Sergey Levine
Chelsea Finn
108
646
0
23 Apr 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Cheng Chi
Zhenjia Xu
S. Feng
Eric A. Cousineau
Yilun Du
Benjamin Burchfiel
Russ Tedrake
Shuran Song
349
1,242
0
07 Mar 2023
Teach a Robot to FISH: Versatile Imitation from One Minute of
  Demonstrations
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations
Siddhant Haldar
Jyothish Pari
A. Rai
Lerrel Pinto
84
74
0
02 Mar 2023
VIOLA: Imitation Learning for Vision-Based Manipulation with Object
  Proposal Priors
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors
Yifeng Zhu
Abhishek Joshi
Peter Stone
Yuke Zhu
LM&Ro
75
134
0
20 Oct 2022
K-VIL: Keypoints-based Visual Imitation Learning
K-VIL: Keypoints-based Visual Imitation Learning
Jianfeng Gao
Z. Tao
Noémie Jaquier
Tamim Asfour
VGenSSL
83
26
0
07 Sep 2022
Back to the Manifold: Recovering from Out-of-Distribution States
Back to the Manifold: Recovering from Out-of-Distribution States
Alfredo Reichlin
Giovanni Luca Marchetti
Hang Yin
Ali Ghadirzadeh
Danica Kragic
OffRL
52
12
0
18 Jul 2022
The Surprising Effectiveness of Representation Learning for Visual
  Imitation
The Surprising Effectiveness of Representation Learning for Visual Imitation
Jyothish Pari
Nur Muhammad (Mahi) Shafiullah
Sridhar Pandian Arunachalam
Lerrel Pinto
SSL
101
171
0
02 Dec 2021
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
305
927
0
12 Oct 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
121
391
0
01 Sep 2021
What Matters in Learning from Offline Human Demonstrations for Robot
  Manipulation
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar
Danfei Xu
J. Wong
Soroush Nasiriany
Chen Wang
Rohun Kulkarni
Li Fei-Fei
Silvio Savarese
Yuke Zhu
Roberto Martín-Martín
OffRL
289
519
0
06 Aug 2021
A Minimalist Approach to Offline Reinforcement Learning
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto
S. Gu
OffRL
132
829
0
12 Jun 2021
An Information-theoretic Approach to Distribution Shifts
An Information-theoretic Approach to Distribution Shifts
Marco Federici
Ryota Tomioka
Patrick Forré
OOD
74
20
0
07 Jun 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
276
433
0
16 Feb 2021
Learning Dexterous Grasping with Object-Centric Visual Affordances
Learning Dexterous Grasping with Object-Centric Visual Affordances
Priyanka Mandikal
Kristen Grauman
98
141
0
03 Sep 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRLOnRL
146
1,836
0
08 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRLGP
576
2,045
0
04 May 2020
AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OODUQCV
131
1,308
0
05 Dec 2019
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
90
848
0
16 Nov 2018
HG-DAgger: Interactive Imitation Learning with Human Experts
HG-DAgger: Interactive Imitation Learning with Human Experts
Michael Kelly
Chelsea Sidrane
Katherine Driggs-Campbell
Mykel J. Kochenderfer
OffRL
236
231
0
05 Oct 2018
Deep Object-Centric Representations for Generalizable Robot Learning
Deep Object-Centric Representations for Generalizable Robot Learning
Coline Devin
Pieter Abbeel
Trevor Darrell
Sergey Levine
SSLOCL
100
108
0
14 Aug 2017
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
259
3,238
0
02 Nov 2010
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