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Visuomotor Mechanical Search: Learning to Retrieve Target Objects in
  Clutter

Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter

13 August 2020
Andrey Kurenkov
Joseph C. Taglic
Rohun Kulkarni
Marcus Dominguez-Kuhne
Animesh Garg
Roberto Martín-Martín
Silvio Savarese
ArXivPDFHTML

Papers citing "Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter"

23 / 23 papers shown
Title
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
Kechun Xu
Xunlong Xia
Kaixuan Wang
Yifei Yang
Yunxuan Mao
Bing Deng
R. Xiong
Yansen Wang
OffRL
120
0
0
12 Mar 2025
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual
  Grasping in Clutter by State Representation Learning Based on Disentanglement
  of a Raw Input Image
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image
Tae Won Kim
Yeseong Park
Youngbin Park
I. Suh
DRL
OffRL
28
9
0
27 Feb 2020
Object Finding in Cluttered Scenes Using Interactive Perception
Object Finding in Cluttered Scenes Using Interactive Perception
Tonci Novkovic
Remi Pautrat
Fadri Furrer
Michel Breyer
Roland Siegwart
Juan I. Nieto
54
66
0
18 Nov 2019
A Deep Learning Approach to Grasping the Invisible
A Deep Learning Approach to Grasping the Invisible
Yang Yang
Hengyue Liang
Changhyun Choi
52
94
0
11 Sep 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an
  Ensemble of Suboptimal Teachers
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
Andrey Kurenkov
Ajay Mandlekar
R. M. Martin
Silvio Savarese
Animesh Garg
24
48
0
09 Sep 2019
Robot Learning of Shifting Objects for Grasping in Cluttered
  Environments
Robot Learning of Shifting Objects for Grasping in Cluttered Environments
Lars Berscheid
Pascal Meissner
Torsten Kröger
20
63
0
25 Jul 2019
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by
  Clutter
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter
Michael Danielczuk
Andrey Kurenkov
Ashwin Balakrishna
Matthew Matl
David Wang
Roberto Martín-Martín
Animesh Garg
Silvio Savarese
Ken Goldberg
43
110
0
04 Mar 2019
Decoupling feature extraction from policy learning: assessing benefits
  of state representation learning in goal based robotics
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
Antonin Raffin
Ashley Hill
Kalifou René Traoré
Timothée Lesort
Natalia Díaz Rodríguez
David Filliat
SSL
OffRL
38
56
0
24 Jan 2019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang
Danfei Xu
Yuke Zhu
Roberto Martín-Martín
Cewu Lu
Li Fei-Fei
Silvio Savarese
MDE
83
952
0
15 Jan 2019
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal
  Representations for Contact-Rich Tasks
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee
Yuke Zhu
K. Srinivasan
Parth Shah
Silvio Savarese
Li Fei-Fei
Animesh Garg
Jeannette Bohg
SSL
69
369
0
24 Oct 2018
Gibson Env: Real-World Perception for Embodied Agents
Gibson Env: Real-World Perception for Embodied Agents
F. Xia
Amir Zamir
Zhi-Yang He
Alexander Sax
Jitendra Malik
Silvio Savarese
AI4CE
LM&Ro
74
819
0
31 Aug 2018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv
  Solution
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu
Joel Lehman
Piero Molino
F. Such
Eric Frank
Alexander Sergeev
J. Yosinski
69
887
0
09 Jul 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic
  Manipulation
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
...
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
103
1,454
0
27 Jun 2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Jie Tan
Tingnan Zhang
Erwin Coumans
Atil Iscen
Yunfei Bai
Danijar Hafner
Steven Bohez
Vincent Vanhoucke
86
798
0
27 Apr 2018
Learning Synergies between Pushing and Grasping with Self-supervised
  Deep Reinforcement Learning
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning
Andy Zeng
Shuran Song
Stefan Welker
Johnny Lee
Alberto Rodriguez
Thomas Funkhouser
SSL
70
567
0
27 Mar 2018
Bayesian Policy Gradients via Alpha Divergence Dropout Inference
Bayesian Policy Gradients via Alpha Divergence Dropout Inference
Peter Henderson
T. Doan
Riashat Islam
David Meger
BDL
43
13
0
06 Dec 2017
Randomized Physics-based Motion Planning for Grasping in Cluttered and
  Uncertain Environments
Randomized Physics-based Motion Planning for Grasping in Cluttered and Uncertain Environments
M. uddin
Mark Moll
Lydia E. Kavraki
J. Rosell
36
86
0
27 Nov 2017
Asymmetric Actor Critic for Image-Based Robot Learning
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
OffRL
56
367
0
18 Oct 2017
Learning to Singulate Objects using a Push Proposal Network
Learning to Singulate Objects using a Push Proposal Network
Andreas Eitel
Nico Hauff
Wolfram Burgard
83
83
0
25 Jul 2017
End-to-End Learning of Semantic Grasping
End-to-End Learning of Semantic Grasping
Eric Jang
Sudheendra Vijayanarasimhan
P. Pastor
Julian Ibarz
Sergey Levine
48
86
0
06 Jul 2017
Interactive Perception: Leveraging Action in Perception and Perception
  in Action
Interactive Perception: Leveraging Action in Perception and Perception in Action
Jeannette Bohg
Karol Hausman
Bharathwaj Sankaran
Oliver Brock
Danica Kragic
S. Schaal
Gaurav Sukhatme
114
303
0
13 Apr 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
247
13,174
0
09 Sep 2015
Benchmarking in Manipulation Research: The YCB Object and Model Set and
  Benchmarking Protocols
Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols
B. Çalli
Aaron Walsman
Arjun Singh
S. Srinivasa
Pieter Abbeel
A. Dollar
67
294
0
10 Feb 2015
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