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Uncertainty Averse Pushing with Model Predictive Path Integral Control

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
ArXivPDFHTML

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
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators
Fabian Baumeister
Lukas Mack
Joerg Stueckler
42
2
0
20 Sep 2024
Jacta: A Versatile Planner for Learning Dexterous and Whole-body
  Manipulation
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
38
2
0
02 Aug 2024
Recent Advances in Path Integral Control for Trajectory Optimization: An
  Overview in Theoretical and Algorithmic Perspectives
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
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
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
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
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
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation
Lin Cong
Michael Görner
Philipp Ruppel
Hongzhuo Liang
Norman Hendrich
Jianwei Zhang
11
14
0
27 Jul 2020
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model
  Predictive Path Integral Control
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
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
A Data-Efficient Approach to Precise and Controlled Pushing
Maria Bauzá
F. Hogan
Alberto Rodriguez
AI4CE
10
57
0
26 Jul 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,695
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
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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