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1704.03033
Cited By
A probabilistic data-driven model for planar pushing
10 April 2017
Maria Bauzá
Alberto Rodriguez
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Papers citing
"A probabilistic data-driven model for planar pushing"
22 / 22 papers shown
Title
ReloPush: Multi-object Rearrangement in Confined Spaces with a Nonholonomic Mobile Robot Pusher
Jeeho Ahn
Christoforos Mavrogiannis
80
1
0
13 Mar 2025
Learning Goal-Directed Object Pushing in Cluttered Scenes with Location-Based Attention
Nils Dengler
Juan Del Aguila Ferrandis
João Moura
S. Vijayakumar
Maren Bennewitz
61
0
0
26 Mar 2024
Force Push: Robust Single-Point Pushing with Force Feedback
Adam Heins
Angela P. Schoellig
26
4
0
31 Jan 2024
Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen
Simon Witzke
Katharina Baum
Bernhard Y. Renard
UD
67
2
0
12 Dec 2023
Position prediction using disturbance observer for planar pushing
Jongrae Kim
29
0
0
17 Jan 2023
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Z. Liu
Ziwei Wang
Sichao Huang
Jie Zhou
Jiwen Lu
48
22
0
25 Jul 2022
Non-prehensile Planar Manipulation via Trajectory Optimization with Complementarity Constraints
João Moura
Theodoros Stouraitis
S. Vijayakumar
52
46
0
27 Sep 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar
Karol Hausman
Yao Lu
Ted Xiao
Dmitry Kalashnikov
...
A. Irpan
Benjamin Eysenbach
Ryan Julian
Chelsea Finn
Sergey Levine
SSL
OffRL
37
146
0
15 Apr 2021
Interpretability in Contact-Rich Manipulation via Kinodynamic Images
Ioanna Mitsioni
Joonatan Mänttäri
Y. Karayiannidis
John Folkesson
Danica Kragic
FAtt
11
3
0
23 Feb 2021
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing
Zhuo Xu
Wenhao Yu
Alexander Herzog
Wenlong Lu
Chuyuan Fu
Masayoshi Tomizuka
Yunfei Bai
Chenxi Liu
Daniel Ho
OffRL
27
17
0
23 Nov 2020
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
Baichuan Huang
Shuai D. Han
Abdeslam Boularias
Jingjin Yu
AI4CE
24
61
0
09 Nov 2020
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics
Carolyn Matl
Yashraj S. Narang
Dieter Fox
R. Bajcsy
F. Ramos
20
19
0
05 Nov 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation
Lin Cong
Michael Görner
Philipp Ruppel
Hongzhuo Liang
Norman Hendrich
Jianwei Zhang
24
14
0
27 Jul 2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
Wenyu Zhang
Skyler Seto
Devesh K. Jha
22
5
0
26 Mar 2020
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
George Konidaris
41
356
0
06 Jul 2019
Combining Coarse and Fine Physics for Manipulation using Parallel-in-Time Integration
Wisdom C. Agboh
Daniel Ruprecht
M. Dogar
AI4CE
43
16
0
20 Mar 2019
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing
Anurag Ajay
Jiajun Wu
Nima Fazeli
Maria Bauzá
L. Kaelbling
J. Tenenbaum
Alberto Rodriguez
32
117
0
09 Aug 2018
A Data-Efficient Approach to Precise and Controlled Pushing
Maria Bauzá
F. Hogan
Alberto Rodriguez
AI4CE
18
57
0
26 Jul 2018
Meta-Learning Priors for Efficient Online Bayesian Regression
James Harrison
Apoorva Sharma
Marco Pavone
BDL
27
99
0
24 Jul 2018
Friction Variability in Planar Pushing Data: Anisotropic Friction and Data-collection Bias
Daolin Ma
Alberto Rodriguez
9
14
0
27 Feb 2018
Reactive Planar Manipulation with Convex Hybrid MPC
F. Hogan
Eudald Romo Grau
Alberto Rodriguez
14
73
0
16 Oct 2017
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data
Alina Kloss
S. Schaal
Jeannette Bohg
40
85
0
11 Oct 2017
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