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A Practical Approach to Insertion with Variable Socket Position Using
  Deep Reinforcement Learning
v1v2 (latest)

A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning

2 October 2018
Mel Vecerík
Oleg O. Sushkov
David Barker
Thomas Rothörl
Todd Hester
Jonathan Scholz
ArXiv (abs)PDFHTML

Papers citing "A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning"

50 / 63 papers shown
Title
Learning Diffusion Policies for Robotic Manipulation of Timber Joinery under Fabrication Uncertainty
Learning Diffusion Policies for Robotic Manipulation of Timber Joinery under Fabrication Uncertainty
Salma Mozaffari
Daniel Ruan
W. V. D. Bogert
Nima Fazeli
Sigrid Adriaenssens
Arash Adel
48
0
0
21 Nov 2025
Reinforcement Learning for Robotic Insertion of Flexible Cables in Industrial Settings
Reinforcement Learning for Robotic Insertion of Flexible Cables in Industrial Settings
Jeongwoo Park
Seabin Lee
Changmin Park
Wonjong Lee
Changjoo Nam
79
0
0
17 Sep 2025
Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
Adrià López Escoriza
Nicklas Hansen
Stone Tao
Tongzhou Mu
H. Su
OffRL
264
3
0
03 Mar 2025
Policy Decorator: Model-Agnostic Online Refinement for Large Policy
  Model
Policy Decorator: Model-Agnostic Online Refinement for Large Policy ModelInternational Conference on Learning Representations (ICLR), 2024
Xiu Yuan
Tongzhou Mu
Stone Tao
Yunhao Fang
Mengke Zhang
H. Su
OffRL
363
22
0
18 Dec 2024
Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis
Zahra Koulaeizadeh
Erhan Oztop
113
0
0
17 Nov 2024
Representation Alignment from Human Feedback for Cross-Embodiment Reward
  Learning from Mixed-Quality Demonstrations
Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations
Connor Mattson
Anurag Aribandi
Daniel S. Brown
225
0
0
10 Aug 2024
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under UncertaintyIEEE Robotics and Automation Letters (RA-L), 2024
Michael Noseworthy
Bingjie Tang
Bowen Wen
Ankur Handa
Nicholas Roy
Nicholas Roy
Dieter Fox
Yashraj S. Narang
Iretiayo Akinola
Iretiayo Akinola
279
24
0
08 Aug 2024
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
Tongzhou Mu
Minghua Liu
Hao Su
OffRL
210
7
0
25 Apr 2024
A versatile robotic hand with 3D perception, force sensing for
  autonomous manipulation
A versatile robotic hand with 3D perception, force sensing for autonomous manipulation
N. Correll
Dylan Kriegman
Stephen Otto
James Watson
69
7
0
08 Feb 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2024
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRLOnRL
555
90
0
29 Jan 2024
FMB: a Functional Manipulation Benchmark for Generalizable Robotic
  Learning
FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning
Jianlan Luo
Charles Xu
Fangchen Liu
Liam Tan
Zipeng Lin
Jeffrey Wu
Pieter Abbeel
Sergey Levine
156
66
0
16 Jan 2024
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to
  Reality
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Bingjie Tang
Michael A. Lin
Iretiayo Akinola
Ankur Handa
Gaurav Sukhatme
Fabio Ramos
Dieter Fox
Yashraj S. Narang
OffRL
205
77
0
26 May 2023
Teaching contact-rich tasks from visual demonstrations by constraint
  extraction
Teaching contact-rich tasks from visual demonstrations by constraint extraction
C. Hegeler
Filippo Rozzi
L. Roveda
Kevin Haninger
118
0
0
30 Mar 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A
  Survey
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
Tongzhou Mu
H. Su
OffRL
304
1
0
23 Mar 2023
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed
  Environments
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments
Jun Yamada
J. Collins
Ingmar Posner
232
7
0
06 Mar 2023
Zero-Shot Transfer of Haptics-Based Object Insertion Policies
Zero-Shot Transfer of Haptics-Based Object Insertion PoliciesIEEE International Conference on Robotics and Automation (ICRA), 2023
Samarth Brahmbhatt
A. Deka
Andrew Spielberg
M. Muller
230
6
0
29 Jan 2023
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
Holo-Dex: Teaching Dexterity with Immersive Mixed RealityIEEE International Conference on Robotics and Automation (ICRA), 2022
Sridhar Pandian Arunachalam
Irmak Güzey
Soumith Chintala
Lerrel Pinto
242
88
0
12 Oct 2022
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep
  Reinforcement Learning
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2022
Abraham George
Alison Bartsch
A. Farimani
OffRL
194
7
0
22 Sep 2022
Reinforcement Learning for Vision-based Object Manipulation with
  Non-parametric Policy and Action Primitives
Reinforcement Learning for Vision-based Object Manipulation with Non-parametric Policy and Action PrimitivesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Dongwon Son
Myungsin Kim
Jaecheol Sim
Wonsik Shin
139
1
0
12 Jun 2022
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement
  Learning and Real2Sim Policy Adaptation
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy AdaptationAnnual Meeting of the IEEE Industry Applications Society (IAS Annual Meeting), 2022
Yiwen Chen
Xue-Yong Li
Sheng Guo
Xiang Yao Ng
Marcelo H. Ang Jr
96
7
0
06 Jun 2022
Economical Precise Manipulation and Auto Eye-Hand Coordination with
  Binocular Visual Reinforcement Learning
Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning
Yiwen Chen
Shengchao Guo
Zedong Zhang
Lei Zhou
Xiang Yao Ng
Marcelo H. Ang Jr
129
0
0
12 May 2022
Factory: Fast Contact for Robotic Assembly
Factory: Fast Contact for Robotic Assembly
Yashraj S. Narang
Kier Storey
Iretiayo Akinola
Lukasz Wawrzyniak
Philipp Reist
...
Ádám Moravánszky
Gavriel State
Michelle Lu
Ankur Handa
Dieter Fox
241
98
0
07 May 2022
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning
Adam Gleave
Sam Toyer
147
18
0
22 Mar 2022
A Composable Framework for Policy Design, Learning, and Transfer Toward
  Safe and Efficient Industrial Insertion
A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial InsertionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Rui Chen
Chenxi Wang
Tianhao Wei
Changliu Liu
159
2
0
06 Mar 2022
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal
  Multiview Sensory Input
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory InputIEEE International Conference on Robotics and Automation (ICRA), 2022
Oren Spector
Vladimir Tchuiev
Dotan Di Castro
146
29
0
02 Mar 2022
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings
Mel Vecerík
Jackie Kay
R. Hadsell
Lourdes Agapito
Jonathan Scholz
177
3
0
09 Dec 2021
Wish you were here: Hindsight Goal Selection for long-horizon dexterous
  manipulation
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Todor Davchev
Oleg O. Sushkov
Jean-Baptiste Regli
S. Schaal
Y. Aytar
Markus Wulfmeier
Jonathan Scholz
138
19
0
01 Dec 2021
Contact Information Flow and Design of Compliance
Contact Information Flow and Design of Compliance
Kevin Haninger
M. Radke
Richard Hartisch
J. Krüger
156
7
0
24 Oct 2021
Offline Meta-Reinforcement Learning for Industrial Insertion
Offline Meta-Reinforcement Learning for Industrial InsertionIEEE International Conference on Robotics and Automation (ICRA), 2021
Tony Zhao
Jianlan Luo
Oleg O. Sushkov
Rugile Pevceviciute
N. Heess
Jonathan Scholz
S. Schaal
Sergey Levine
OffRLOnRL
249
87
0
08 Oct 2021
Learning Dynamics Models for Model Predictive Agents
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
180
29
0
29 Sep 2021
DCUR: Data Curriculum for Teaching via Samples with Reinforcement
  Learning
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning
Daniel Seita
Abhinav Gopal
Zhao Mandi
John F. Canny
OffRLOnRL
98
0
0
15 Sep 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
A Study on Dense and Sparse (Visual) Rewards in Robot Policy LearningTowards Autonomous Robotic Systems (TAROS), 2021
A. Mohtasib
Gerhard Neumann
Heriberto Cuayáhuitl
114
17
0
06 Aug 2021
Aligning an optical interferometer with beam divergence control and
  continuous action space
Aligning an optical interferometer with beam divergence control and continuous action spaceConference on Robot Learning (CoRL), 2021
Stepan Makarenko
Dmitry Sorokin
Alexander Ulanov
A. Lvovsky
AI4CE
87
4
0
09 Jul 2021
Neural Task Success Classifiers for Robotic Manipulation from Few Real
  Demonstrations
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations
A. Mohtasib
Amir Ghalamzan
Nicola Bellotto
Heriberto Cuay´ahuitl
143
1
0
01 Jul 2021
XIRL: Cross-embodiment Inverse Reinforcement Learning
XIRL: Cross-embodiment Inverse Reinforcement LearningConference on Robot Learning (CoRL), 2021
Kevin Zakka
Andy Zeng
Peter R. Florence
Jonathan Tompson
Jeannette Bohg
Debidatta Dwibedi
SSL
298
137
0
07 Jun 2021
InsertionNet -- A Scalable Solution for Insertion
InsertionNet -- A Scalable Solution for InsertionIEEE Robotics and Automation Letters (RA-L), 2021
Oren Spector
Dotan Di Castro
134
61
0
29 Apr 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep
  Reinforcement Learning
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Jinxin Liu
Xuetao Zhang
Qiangxing Tian
Ruihao Zhang
237
25
0
11 Apr 2021
Replacing Rewards with Examples: Example-Based Policy Search via
  Recursive Classification
Replacing Rewards with Examples: Example-Based Policy Search via Recursive ClassificationNeural Information Processing Systems (NeurIPS), 2021
Benjamin Eysenbach
Sergey Levine
Ruslan Salakhutdinov
OffRL
322
52
0
23 Mar 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement
  Learning and Demonstrations: A Large-Scale Study
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Jianlan Luo
Oleg O. Sushkov
Rugile Pevceviciute
Wenzhao Lian
Yan Yu
Mel Vecerík
Ning Ye
S. Schaal
Jonathan Scholz
OffRL
291
69
0
21 Mar 2021
Interpreting Contact Interactions to Overcome Failure in Robot Assembly
  Tasks
Interpreting Contact Interactions to Overcome Failure in Robot Assembly TasksIEEE International Conference on Robotics and Automation (ICRA), 2021
Peter Zachares
Michelle A. Lee
Wenzhao Lian
Jeannette Bohg
219
19
0
07 Jan 2021
Offline Learning from Demonstrations and Unlabeled Experience
Offline Learning from Demonstrations and Unlabeled Experience
Konrad Zolna
Alexander Novikov
Ksenia Konyushkova
Çağlar Gülçehre
Ziyun Wang
Y. Aytar
Misha Denil
Nando de Freitas
Scott E. Reed
SSLOffRL
195
75
0
27 Nov 2020
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with
  Base Controllers
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base ControllersIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Guangming Wang
Minjian Xin
Wenhua Wu
Yanfeng Guo
Hesheng Wang
OffRL
115
26
0
24 Nov 2020
Towards Learning Controllable Representations of Physical Systems
Towards Learning Controllable Representations of Physical Systems
Kevin Haninger
R. Vicente-Garcia
J. Krüger
167
1
0
16 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic
  Reinforcement Learning
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2020
Jun Jin
D. Graves
Cameron Haigh
Jun Luo
Martin Jägersand
SSLOffRL
210
6
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
199
7
0
09 Nov 2020
"What, not how": Solving an under-actuated insertion task from scratch
"What, not how": Solving an under-actuated insertion task from scratch
Giulia Vezzani
Michael Neunert
Markus Wulfmeier
Rae Jeong
Thomas Lampe
Noah Y. Siegel
Agrim Gupta
A. Abdolmaleki
Martin Riedmiller
F. Nori
102
1
0
29 Oct 2020
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via
  Multi-View Consistency
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
Mel Vecerík
Jean-Baptiste Regli
Oleg O. Sushkov
David Barker
Rugile Pevceviciute
Thomas Rothörl
C. Schuster
R. Hadsell
Lourdes Agapito
Jonathan Scholz
3DPC
319
40
0
30 Sep 2020
Understanding Multi-Modal Perception Using Behavioral Cloning for
  Peg-In-a-Hole Insertion Tasks
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks
Yifang Liu
Diego Romeres
Devesh K. Jha
D. Nikovski
132
19
0
22 Jul 2020
Representations for Stable Off-Policy Reinforcement Learning
Representations for Stable Off-Policy Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020
Dibya Ghosh
Marc G. Bellemare
OffRLSSLOOD
199
45
0
10 Jul 2020
Quantifying Differences in Reward Functions
Quantifying Differences in Reward FunctionsInternational Conference on Learning Representations (ICLR), 2020
Adam Gleave
Michael Dennis
Shane Legg
Stuart J. Russell
Jan Leike
OffRL
249
71
0
24 Jun 2020
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