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1909.07876
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Learning to Manipulate Object Collections Using Grounded State Representations
Conference on Robot Learning (CoRL), 2019
17 September 2019
Matthew Wilson
Tucker Hermans
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Papers citing
"Learning to Manipulate Object Collections Using Grounded State Representations"
20 / 20 papers shown
SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
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Song Jiang
Yuandong Tian
Jason Weston
Sergey Levine
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Xian Li
LLMAG
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395
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19 Mar 2025
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
Juyan Zhang
Dana Kulic
Michael Burke
355
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18 Oct 2024
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
Chenyang Cao
Zichen Yan
Renhao Lu
Junbo Tan
Xueqian Wang
OffRL
187
5
0
04 Mar 2024
Neural Field Dynamics Model for Granular Object Piles Manipulation
Conference on Robot Learning (CoRL), 2023
Shangjie Xue
Shuo Cheng
Pujith Kachana
Danfei Xu
AI4CE
293
13
0
01 Nov 2023
Graph learning in robotics: a survey
IEEE Access (IEEE Access), 2023
Francesca Pistilli
Giuseppe Averta
AI4CE
GNN
197
16
0
06 Oct 2023
Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Xibai Lou
Houjian Yu
Ross Worobel
Yang Yang
Changhyun Choi
211
8
0
27 Sep 2023
Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Tuba Girgin
Emre Ugur
328
3
0
19 Sep 2023
Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers
IEEE Transactions on robotics (TRO), 2023
Yixuan Huang
Nichols Crawford Taylor
Adam Conkey
Weiyu Liu
Tucker Hermans
430
12
0
18 May 2023
Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers
IEEE International Conference on Robotics and Automation (ICRA), 2022
Yixuan Huang
Adam Conkey
Tucker Hermans
382
29
0
24 Sep 2022
Policy Architectures for Compositional Generalization in Control
Allan Zhou
Vikash Kumar
Chelsea Finn
Aravind Rajeswaran
191
27
0
10 Mar 2022
Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter
IEEE International Conference on Robotics and Automation (ICRA), 2022
Xibai Lou
Yang Yang
Changhyun Choi
93
19
0
02 Mar 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
208
19
0
31 Jan 2022
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects
Weiyu Liu
Chris Paxton
Tucker Hermans
Dieter Fox
233
111
0
19 Oct 2021
Predicting Stable Configurations for Semantic Placement of Novel Objects
Conference on Robot Learning (CoRL), 2021
Chris Paxton
Christopher Xie
Tucker Hermans
Dieter Fox
229
53
0
26 Aug 2021
Towards Distraction-Robust Active Visual Tracking
International Conference on Machine Learning (ICML), 2021
Fangwei Zhong
Yang Liu
Tong Lu
Tingyun Yan
Yizhou Wang
AAML
131
46
0
18 Jun 2021
Learning to Manipulate Amorphous Materials
ACM Transactions on Graphics (TOG), 2020
Yunbo Zhang
Wenhao Yu
Chenxi Liu
Charles C. Kemp
Greg Turk
155
19
0
03 Mar 2021
Machine Learning for Robotic Manipulation
Q. Vuong
OOD
194
2
0
04 Jan 2021
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
Conference on Robot Learning (CoRL), 2020
Hai V. Nguyen
Brett Daley
Xinchao Song
Chris Amato
Robert Platt
300
15
0
19 Oct 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image
Danny Driess
Jung-Su Ha
Marc Toussaint
LRM
189
113
0
09 Jun 2020
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation
Workshop on the Algorithmic Foundations of Robotics (WAFR), 2020
H.J. Terry Suh
Russ Tedrake
213
69
0
21 Feb 2020
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