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SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning
  and Control

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control

2 October 2017
Arunkumar Byravan
Felix Leeb
Franziska Meier
Dieter Fox
ArXivPDFHTML

Papers citing "SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control"

12 / 12 papers shown
Title
Strengthening Generative Robot Policies through Predictive World Modeling
Strengthening Generative Robot Policies through Predictive World Modeling
Han Qi
Haocheng Yin
Aris Zhu
Yilun Du
Heng Yang
126
4
0
02 Feb 2025
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured
  State Representations
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations
Rico Jonschkowski
Roland Hafner
Jonathan Scholz
Martin Riedmiller
47
67
0
27 May 2017
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Alex X. Lee
Sergey Levine
Pieter Abbeel
SSL
45
73
0
31 Mar 2017
Deep Visual Foresight for Planning Robot Motion
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn
Sergey Levine
119
785
0
03 Oct 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
65
564
0
23 Jun 2016
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
Arunkumar Byravan
Dieter Fox
3DPC
67
269
0
08 Jun 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
73
1,044
0
23 May 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control
  from Raw Images
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
BDL
68
846
0
24 Jun 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
311
3,437
0
02 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models
From Pixels to Torques: Policy Learning with Deep Dynamical Models
Niklas Wahlström
Thomas B. Schon
M. Deisenroth
74
189
0
08 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
323
18,625
0
06 Feb 2015
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