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2009.05085
Cited By
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
Conference on Robot Learning (CoRL), 2020
10 September 2020
Lucas Manuelli
Yunzhu Li
Peter R. Florence
Russ Tedrake
SSL
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Papers citing
"Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning"
50 / 78 papers shown
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DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
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Local All-Pair Correspondence for Point Tracking
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Jiahui Huang
Jisu Nam
Honggyu An
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295
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Markus Spies
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189
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Query-based Semantic Gaussian Field for Scene Representation in Reinforcement Learning
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Ziyi Zhang
Qiang Zhang
Jia Li
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Junhao He
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380
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Composable Part-Based Manipulation
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Joy Hsu
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248
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201
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Reinforcement Learning with Generalizable Gaussian Splatting
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Qiang Zhang
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Jiahang Cao
Yecheng Shao
Renjing Xu
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302
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Interactive Perception for Deformable Object Manipulation
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Peng Zhou
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208
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General Flow as Foundation Affordance for Scalable Robot Learning
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Chuan Wen
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Yang Gao
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336
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21 Jan 2024
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
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Paul Weng
OffRL
203
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Any-point Trajectory Modeling for Policy Learning
Chuan Wen
Xingyu Lin
John So
Kai-xiang Chen
Qi Dou
Yang Gao
Pieter Abbeel
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556
172
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Model-Based Control with Sparse Neural Dynamics
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Genggeng Zhou
Jeff He
Tobia Marcucci
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Yunzhu Li
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273
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SKT-Hang: Hanging Everyday Objects via Object-Agnostic Semantic Keypoint Trajectory Generation
IEEE International Conference on Robotics and Automation (ICRA), 2023
Chia-Liang Kuo
Yu-Wei Chao
Yi-Ting Chen
238
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Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
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Yifeng Zhu
Zhenyu Jiang
Peter Stone
Yuke Zhu
3DPC
261
67
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22 Oct 2023
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment
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Vitalis Vosylius
Edward Johns
226
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Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories
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P. Rao
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378
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Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
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Zhenyu Jiang
Hanwen Jiang
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252
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See to Touch: Learning Tactile Dexterity through Visual Incentives
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Irmak Güzey
Yinlong Dai
Ben Evans
Soumith Chintala
Lerrel Pinto
262
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Learning Sequential Acquisition Policies for Robot-Assisted Feeding
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Priya Sundaresan
Jiajun Wu
Dorsa Sadigh
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262
20
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11 Sep 2023
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
IEEE Robotics and Automation Letters (RA-L), 2023
Max Yang
Yijiong Lin
Alex Church
John Lloyd
Dandan Zhang
David A.W. Barton
Nathan Lepora
OffRL
273
21
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Dynamic-Resolution Model Learning for Object Pile Manipulation
Yixuan Wang
Yunzhu Li
Katherine Driggs-Campbell
Li Fei-Fei
Jiajun Wu
257
36
0
29 Jun 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
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H.J. Terry Suh
Glen Chou
Hongkai Dai
Lujie Yang
Abhishek Gupta
Russ Tedrake
DiffM
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268
15
0
24 Jun 2023
One-shot Imitation Learning via Interaction Warping
Conference on Robot Learning (CoRL), 2023
Ondrej Biza
Skye Thompson
Kishore Reddy Pagidi
Abhinav Kumar
Elise van der Pol
Robin Walters
Thomas Kipf
Jan-Willem van de Meent
Lawson L. S. Wong
Robert Platt
350
21
0
21 Jun 2023
Multi-Object Manipulation via Object-Centric Neural Scattering Functions
Computer Vision and Pattern Recognition (CVPR), 2023
Stephen Tian
Yancheng Cai
Hong-Xing Yu
Sergey Zakharov
Katherine Liu
Adrien Gaidon
Yunzhu Li
Jiajun Wu
OCL
217
12
0
14 Jun 2023
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
IEEE International Conference on Computer Vision (ICCV), 2023
Carl Doersch
Yi Yang
Mel Vecerík
Dilara Gokay
Ankush Gupta
Y. Aytar
João Carreira
Andrew Zisserman
298
254
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3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
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Antonio Torralba
J. Tenenbaum
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H. Tung
PINN
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242
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The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing
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A. Kupcsik
Philipp Schillinger
Meng Guo
R. Krug
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Sabrina Hoppe
Hanna Ziesche
M. Burger
Kai O. Arras
192
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0
20 Apr 2023
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
D. Shim
Seungjae Lee
H. J. Kim
344
20
0
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Where To Start? Transferring Simple Skills to Complex Environments
Conference on Robot Learning (CoRL), 2022
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Edward Johns
242
13
0
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TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation
Conference on Robot Learning (CoRL), 2022
Chuer Pan
Brian Okorn
Harry Zhang
Ben Eisner
David Held
431
74
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17 Nov 2022
TAP-Vid: A Benchmark for Tracking Any Point in a Video
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Ankush Gupta
L. Markeeva
Adrià Recasens
Lucas Smaira
Y. Aytar
João Carreira
Andrew Zisserman
Yezhou Yang
394
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Conference on Robot Learning (CoRL), 2022
Mark Van der Merwe
Dmitry Berenson
Nima Fazeli
196
15
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Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene
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Yimeng Li
Jana Kosecka
3DPC
SSL
SSeg
263
3
0
04 Oct 2022
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2022
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Zhecheng Yuan
Jiashun Wang
Xueqian Wang
Yang Gao
Huazhe Xu
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353
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Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks
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Christian Graf
David B. Adrian
Joshua Weil
Miroslav Gabriel
Philipp Schillinger
Markus Spies
Heiko Neumann
A. Kupcsik
SSL
124
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12 Sep 2022
K-VIL: Keypoints-based Visual Imitation Learning
IEEE Transactions on robotics (TRO), 2022
Jianfeng Gao
Z. Tao
Noémie Jaquier
Tamim Asfour
VGen
SSL
360
38
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07 Sep 2022
Graph Inverse Reinforcement Learning from Diverse Videos
Conference on Robot Learning (CoRL), 2022
Sateesh Kumar
Jonathan Zamora
Nicklas Hansen
Rishabh Jangir
Xiaolong Wang
232
60
0
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Masked World Models for Visual Control
Conference on Robot Learning (CoRL), 2022
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
407
183
0
28 Jun 2022
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2022
David B. Adrian
A. Kupcsik
Markus Spies
Heiko Neumann
3DPC
204
7
0
24 Jun 2022
Reinforcement Learning with Neural Radiance Fields
Neural Information Processing Systems (NeurIPS), 2022
Danny Driess
Ingmar Schubert
Peter R. Florence
Yunzhu Li
Marc Toussaint
AI4CE
231
63
0
03 Jun 2022
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