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A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms

A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms

6 July 2019
Oliver Kroemer
S. Niekum
George Konidaris
ArXivPDFHTML

Papers citing "A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms"

50 / 165 papers shown
Title
Conditional Visual Servoing for Multi-Step Tasks
Conditional Visual Servoing for Multi-Step Tasks
Sergio Izquierdo
Max Argus
Thomas Brox
34
4
0
17 May 2022
Data Augmentation for Manipulation
Data Augmentation for Manipulation
Peter Mitrano
Dmitry Berenson
16
20
0
05 May 2022
Toward Compositional Generalization in Object-Oriented World Modeling
Toward Compositional Generalization in Object-Oriented World Modeling
Linfeng Zhao
Lingzhi Kong
Robin G. Walters
Lawson L. S. Wong
OCL
18
21
0
28 Apr 2022
Perceive, Represent, Generate: Translating Multimodal Information to
  Robotic Motion Trajectories
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories
Fábio Vital
Miguel Vasco
Alberto Sardinha
Francisco S. Melo
27
0
0
06 Apr 2022
Interactive Robotic Grasping with Attribute-Guided Disambiguation
Interactive Robotic Grasping with Attribute-Guided Disambiguation
Yang Yang
Xibai Lou
Changhyun Choi
21
30
0
15 Mar 2022
Synergistic Scheduling of Learning and Allocation of Tasks in
  Human-Robot Teams
Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams
Shivam Vats
Oliver Kroemer
Maxim Likhachev
22
5
0
14 Mar 2022
Learning to control from expert demonstrations
Learning to control from expert demonstrations
A. Sultangazin
Luigi Pannocchi
Lucas Fraile
Paulo Tabuada
6
1
0
09 Mar 2022
Residual Robot Learning for Object-Centric Probabilistic Movement
  Primitives
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives
João Carvalho
Dorothea Koert
Marek Daniv
Jan Peters
29
8
0
08 Mar 2022
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth
  Reinforcement Learning
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning
Taisuke Kobayashi
24
15
0
15 Feb 2022
Robotic Grasping from Classical to Modern: A Survey
Robotic Grasping from Classical to Modern: A Survey
Hanbo Zhang
Jian Tang
Shiguang Sun
Xuguang Lan
37
39
0
08 Feb 2022
Neural Circuit Architectural Priors for Embodied Control
Neural Circuit Architectural Priors for Embodied Control
Nikhil X. Bhattasali
A. Zador
Tatiana A. Engel
82
4
0
13 Jan 2022
Reward-Based Environment States for Robot Manipulation Policy Learning
Reward-Based Environment States for Robot Manipulation Policy Learning
Cédérick Mouliets
Isabelle Ferrané
Heriberto Cuayáhuitl
19
0
0
10 Dec 2021
A Survey of Robot Manipulation in Contact
A Survey of Robot Manipulation in Contact
Markku Suomalainen
Y. Karayiannidis
Ville Kyrki
31
109
0
03 Dec 2021
Tool as Embodiment for Recursive Manipulation
Tool as Embodiment for Recursive Manipulation
Yukiyasu Noguchi
T. Matsushima
Y. Matsuo
S. Gu
30
7
0
01 Dec 2021
Improved Reinforcement Learning Pushing Policies via Heuristic Rules
Improved Reinforcement Learning Pushing Policies via Heuristic Rules
Marios Kiatos
Iason Sarantopoulos
S. Malassiotis
Z. Doulgeri
29
0
0
22 Nov 2021
An Adaptive Framework for Reliable Trajectory Following in
  Changing-Contact Robot Manipulation Tasks
An Adaptive Framework for Reliable Trajectory Following in Changing-Contact Robot Manipulation Tasks
Saif Sidhik
Mohan Sridharan
Dirk Ruiken
16
0
0
15 Nov 2021
Learning to Infer Kinematic Hierarchies for Novel Object Instances
Learning to Infer Kinematic Hierarchies for Novel Object Instances
H. Abdul-Rashid
Miles Freeman
Ben Abbatematteo
George Konidaris
Daniel E. Ritchie
56
12
0
15 Oct 2021
Discovering Synergies for Robot Manipulation with Multi-Task
  Reinforcement Learning
Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning
Zhanpeng He
M. Ciocarlie
12
9
0
04 Oct 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive
  Imitation Learning
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
Ryan Hoque
Ashwin Balakrishna
Ellen R. Novoseller
Albert Wilcox
Daniel S. Brown
Ken Goldberg
35
84
0
17 Sep 2021
Pixyz: a Python library for developing deep generative models
Pixyz: a Python library for developing deep generative models
Masahiro Suzuki
T. Kaneko
Y. Matsuo
AI4CE
23
2
0
28 Jul 2021
Learning a Generative Transition Model for Uncertainty-Aware Robotic
  Manipulation
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation
Lars Berscheid
Pascal Meissner
Torsten Kröger
15
2
0
06 Jul 2021
Dataset Bias Mitigation Through Analysis of CNN Training Scores
Dataset Bias Mitigation Through Analysis of CNN Training Scores
Ekberjan Derman
11
9
0
28 Jun 2021
Vision-driven Compliant Manipulation for Reliable, High-Precision
  Assembly Tasks
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks
A. S. Morgan
Bowen Wen
Junchi Liang
Abdeslam Boularias
A. Dollar
Kostas Bekris
22
53
0
26 Jun 2021
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense
  Clutter
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter
Matt Corsaro
Stefanie Tellex
George Konidaris
3DPC
25
9
0
07 Jun 2021
Zero-shot Task Adaptation using Natural Language
Zero-shot Task Adaptation using Natural Language
Prasoon Goyal
Raymond J. Mooney
S. Niekum
LM&Ro
25
18
0
05 Jun 2021
Demonstrating Cloth Folding to Robots: Design and Evaluation of a 2D and
  a 3D User Interface
Demonstrating Cloth Folding to Robots: Design and Evaluation of a 2D and a 3D User Interface
Benjamin Waymouth
Akansel Cosgun
Rhys Newbury
T. Tran
Wesley P. Chan
Tom Drummond
Elizabeth A. Croft
13
7
0
07 Apr 2021
Causal Reasoning in Simulation for Structure and Transfer Learning of
  Robot Manipulation Policies
Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies
Timothy E. Lee
Jialiang Zhao
A. Sawhney
Siddharth Girdhar
Oliver Kroemer
CML
13
32
0
31 Mar 2021
Learning Reactive and Predictive Differentiable Controllers for
  Switching Linear Dynamical Models
Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models
Saumya Saxena
A. LaGrassa
Oliver Kroemer
18
4
0
26 Mar 2021
Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile
  Manipulation
Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation
Mayank Mittal
David Hoeller
Farbod Farshidian
Marco Hutter
Animesh Garg
19
84
0
18 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
516
0
04 Feb 2021
Bootstrapping Motor Skill Learning with Motion Planning
Bootstrapping Motor Skill Learning with Motion Planning
Ben Abbatematteo
Eric Rosen
Stefanie Tellex
George Konidaris
SSL
19
9
0
12 Jan 2021
Playing with Food: Learning Food Item Representations through
  Interactive Exploration
Playing with Food: Learning Food Item Representations through Interactive Exploration
A. Sawhney
Steven Lee
Kevin Zhang
Manuela Veloso
Oliver Kroemer
46
23
0
06 Jan 2021
Motion Planning and Control for Mobile Robot Navigation Using Machine
  Learning: a Survey
Motion Planning and Control for Mobile Robot Navigation Using Machine Learning: a Survey
Xuesu Xiao
Bo Liu
Garrett A. Warnell
Peter Stone
15
188
0
26 Nov 2020
Reactive Long Horizon Task Execution via Visual Skill and Precondition
  Models
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models
Shohin Mukherjee
Chris Paxton
Arsalan Mousavian
Adam Fishman
Maxim Likhachev
D. Fox
32
13
0
17 Nov 2020
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping
  Challenging Polyhedral Objects
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
Michael Danielczuk
Ashwin Balakrishna
Daniel S. Brown
Shivin Devgon
Ken Goldberg
OffRL
12
18
0
11 Nov 2020
Reward Conditioned Neural Movement Primitives for Population Based
  Variational Policy Optimization
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization
M. Akbulut
Utku Bozdoğan
Ahmet E. Tekden
Emre Ugur
13
5
0
09 Nov 2020
Contextual Latent-Movements Off-Policy Optimization for Robotic
  Manipulation Skills
Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills
Samuele Tosatto
Georgia Chalvatzaki
Jan Peters
15
12
0
26 Oct 2020
Automatic Extension of a Symbolic Mobile Manipulation Skill Set
Automatic Extension of a Symbolic Mobile Manipulation Skill Set
Julian Förster
Lionel Ott
Juan I. Nieto
Roland Siegwart
Jen Jen Chung
11
1
0
20 Oct 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu
J. Wong
Ajay Mandlekar
Roberto Martín-Martín
Abhishek Joshi
Soroush Nasiriany
Yifeng Zhu
Soroush Nasiriany
Yifeng Zhu
37
430
0
25 Sep 2020
ScrewNet: Category-Independent Articulation Model Estimation From Depth
  Images Using Screw Theory
ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory
Ajinkya Jain
Rudolf Lioutikov
Caleb Chuck
S. Niekum
6
83
0
24 Aug 2020
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep
  Reinforcement Learning Approach
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach
C. C. Beltran-Hernandez
Damien Petit
I. Ramirez-Alpizar
Kensuke Harada
OffRL
30
157
0
24 Aug 2020
Residual Learning from Demonstration: Adapting DMPs for Contact-rich
  Manipulation
Residual Learning from Demonstration: Adapting DMPs for Contact-rich Manipulation
Todor Davchev
K. Luck
Michael G. Burke
Franziska Meier
S. Schaal
S. Ramamoorthy
27
48
0
18 Aug 2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping
  Pixels to Rewards
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
Prasoon Goyal
S. Niekum
Raymond J. Mooney
LM&Ro
32
53
0
30 Jul 2020
Learning to Play by Imitating Humans
Learning to Play by Imitating Humans
R. Dinyari
P. Sermanet
Corey Lynch
SSL
OffRL
9
5
0
11 Jun 2020
Learning Active Task-Oriented Exploration Policies for Bridging the
  Sim-to-Real Gap
Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap
Jacky Liang
Saumya Saxena
Oliver Kroemer
12
18
0
02 Jun 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
49
1,928
0
11 Apr 2020
Learning Dense Visual Correspondences in Simulation to Smooth and Fold
  Real Fabrics
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
Aditya Ganapathi
Priya Sundaresan
Brijen Thananjeyan
Ashwin Balakrishna
Daniel Seita
...
Joseph E. Gonzalez
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
19
27
0
28 Mar 2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through
  Context
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
Wenyu Zhang
Skyler Seto
Devesh K. Jha
18
5
0
26 Mar 2020
Distributed Reinforcement Learning for Cooperative Multi-Robot Object
  Manipulation
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation
Guohui Ding
Joewie J. Koh
Kelly Merckaert
B. Vanderborght
M. Nicotra
Christoffer Heckman
A. Roncone
Lijun Chen
OffRL
21
20
0
21 Mar 2020
Modelling and Learning Dynamics for Robotic Food-Cutting
Modelling and Learning Dynamics for Robotic Food-Cutting
Ioanna Mitsioni
Y. Karayiannidis
Danica Kragic
4
8
0
20 Mar 2020
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