ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1710.04005
  4. Cited By
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"

14 / 14 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
55
2
0
20 Sep 2024
Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations
Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations
Corrado Pezzato
C. Salmi
Max Spahn
Elia Trevisan
Javier Alonso-Mora
C. H. Corbato
59
16
0
18 Jul 2023
A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory
  and Experimental Validation
A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation
Jiaji Zhou
J. Andrew Bagnell
M. T. Mason
32
37
0
30 May 2017
A probabilistic data-driven model for planar pushing
A probabilistic data-driven model for planar pushing
Maria Bauzá
Alberto Rodriguez
50
104
0
10 Apr 2017
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
774
5,806
0
05 Dec 2016
Path Integral Guided Policy Search
Path Integral Guided Policy Search
Yevgen Chebotar
Mrinal Kalakrishnan
Ali Yahya
A. Li
S. Schaal
Sergey Levine
77
149
0
03 Oct 2016
Learning to Push by Grasping: Using multiple tasks for effective
  learning
Learning to Push by Grasping: Using multiple tasks for effective learning
Lerrel Pinto
Abhinav Gupta
60
134
0
28 Sep 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal
Ashvin Nair
Pieter Abbeel
Jitendra Malik
Sergey Levine
SSL
62
563
0
23 Jun 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
70
1,043
0
23 May 2016
Model Predictive Path Integral Control using Covariance Variable
  Importance Sampling
Model Predictive Path Integral Control using Covariance Variable Importance Sampling
Grady Williams
Andrew Aldrich
Evangelos Theodorou
62
150
0
03 Sep 2015
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
764
9,290
0
06 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
140
4,033
0
04 Aug 2013
Learning Parameterized Skills
Learning Parameterized Skills
Bruno C. da Silva
George Konidaris
A. Barto
114
207
0
27 Jun 2012
1