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1710.04005
Cited By
Uncertainty Averse Pushing with Model Predictive Path Integral Control
11 October 2017
Ermano Arruda
Michael J. Mathew
Marek Kopicki
Michael N. Mistry
M. Azad
J. Wyatt
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Papers citing
"Uncertainty Averse Pushing with Model Predictive Path Integral Control"
13 / 13 papers shown
Title
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators
Fabian Baumeister
Lukas Mack
Joerg Stueckler
44
2
0
20 Sep 2024
Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation
Jan Brüdigam
Ali-Adeeb Abbas
Maks Sorokin
Kuan Fang
Brandon Hung
Maya Guru
Stefan Sosnowski
Jiuguang Wang
Sandra Hirche
Simon Le Cleac'h
41
2
0
02 Aug 2024
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives
Muhammad Kazim
JunGee Hong
Min-Gyeom Kim
Kwang-Ki K. Kim
44
16
0
22 Sep 2023
Push-MOG: Efficient Pushing to Consolidate Polygonal Objects for Multi-Object Grasping
Shrey Aeron
Edith Llontop
Aviv Adler
Wisdom C. Agboh
M. Dogar
Ken Goldberg
24
5
0
24 Jun 2023
Synthesize Dexterous Nonprehensile Pregrasp for Ungraspable Objects
Sirui Chen
A. Wu
C.Karen Liu
34
17
0
08 May 2023
Particle MPC for Uncertain and Learning-Based Control
Robert Dyro
James Harrison
Apoorva Sharma
Marco Pavone
27
16
0
06 Apr 2021
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics
Mihir Parmar
Mathew Halm
Michael Posa
29
36
0
29 Mar 2021
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation
Lin Cong
Michael Görner
Philipp Ruppel
Hongzhuo Liang
Norman Hendrich
Jianwei Zhang
13
14
0
27 Jul 2020
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control
Chen Liang
Weihong Wang
Zhenghua Liu
Chao Lai
Benchun Zhou
19
28
0
15 Apr 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
A Data-Efficient Approach to Precise and Controlled Pushing
Maria Bauzá
F. Hogan
Alberto Rodriguez
AI4CE
12
57
0
26 Jul 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
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