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Deep Reinforcement Learning for Industrial Insertion Tasks with Visual
  Inputs and Natural Rewards

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards

13 June 2019
Gerrit Schoettler
Ashvin Nair
Jianlan Luo
Shikhar Bahl
J. A. Ojea
Eugen Solowjow
Sergey Levine
    OffRL
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards"

34 / 34 papers shown
Title
PANDORA: Diffusion Policy Learning for Dexterous Robotic Piano Playing
PANDORA: Diffusion Policy Learning for Dexterous Robotic Piano Playing
Yanjia Huang
Renjie Li
Zhengzhong Tu
VGen
60
0
0
17 Mar 2025
MILES: Making Imitation Learning Easy with Self-Supervision
MILES: Making Imitation Learning Easy with Self-Supervision
Georgios Papagiannis
Edward Johns
VLM
SSL
53
5
0
25 Oct 2024
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks
Ahmed Shokry
Walid Gomaa
Tobias Zaenker
Murad Dawood
Shady A. Maged
Mohammed I. Awad
Maren Bennewitz
Maren Bennewitz
OffRL
39
0
0
24 Sep 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRL
OnRL
36
41
0
29 Jan 2024
PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via
  Sim-to-real Adaptation
PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation
Geonhyup Lee
Joosoon Lee
Sangjun Noh
Minhwan Ko
Kangmin Kim
Kyoobin Lee
25
2
0
05 Dec 2023
Perceiving Extrinsic Contacts from Touch Improves Learning Insertion
  Policies
Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies
Carolina Higuera
Joseph Ortiz
Haozhi Qi
Luis Villaseñor-Pineda
Byron Boots
Mustafa Mukadam
54
4
0
28 Sep 2023
Learning Human-Inspired Force Strategies for Robotic Assembly
Learning Human-Inspired Force Strategies for Robotic Assembly
Stefanie Scherzinger
A. Roennau
Rüdiger Dillmann
16
5
0
22 Mar 2023
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline
  Reinforcement Learning Settings
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings
Sudhir Pratap Yadav
R. Nagar
S. Shah
OffRL
29
3
0
31 Jan 2023
Zero-Shot Transfer of Haptics-Based Object Insertion Policies
Zero-Shot Transfer of Haptics-Based Object Insertion Policies
Samarth Brahmbhatt
A. Deka
Andrew Spielberg
M. Muller
9
6
0
29 Jan 2023
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRL
OnRL
28
15
0
27 Oct 2022
Local Connection Reinforcement Learning Method for Efficient Control of
  Robotic Peg-in-Hole Assembly
Local Connection Reinforcement Learning Method for Efficient Control of Robotic Peg-in-Hole Assembly
Yuhang Gai
Jiwen Zhang
Dan Wu
Ken Chen
OffRL
32
1
0
24 Oct 2022
Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies
  for Industrial Insertion
Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies for Industrial Insertion
Letian Fu
Huang Huang
Lars Berscheid
Hui Li
Ken Goldberg
Sachin Chitta
44
18
0
04 Oct 2022
Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using
  CycleGAN and Force Control
Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control
C. Yuan
Yunlei Shi
Qian Feng
Chunyang Chang
Zhaopeng Chen
Alois C. Knoll
Jianwei Zhang
29
8
0
30 Aug 2022
Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid
  Position/Force Assembly Skill for Contact-Rich Tasks
Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks
Yunlei Shi
Zhaopeng Chen
Lin Cong
Yansong Wu
Martin Craiu-Müller
C. Yuan
Chunyang Chang
Lei Zhang
Jianwei Zhang
14
0
0
12 Aug 2022
DayDreamer: World Models for Physical Robot Learning
DayDreamer: World Models for Physical Robot Learning
Philipp Wu
Alejandro Escontrela
Danijar Hafner
Ken Goldberg
Pieter Abbeel
61
277
0
28 Jun 2022
Learning A Simulation-based Visual Policy for Real-world Peg In Unseen
  Holes
Learning A Simulation-based Visual Policy for Real-world Peg In Unseen Holes
Liangru Xie
Hongxiang Yu
Kechun Xu
Tong Yang
Minhang Wang
Haojian Lu
R. Xiong
Yue Wang
31
0
0
09 May 2022
Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on
  Unseen Shapes in Real World
Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World
Liang Xie
Hongxiang Yu
Yinghao Zhao
Haodong Zhang
Zhongxiang Zhou
Minhang Wang
Yue Wang
R. Xiong
22
9
0
16 Apr 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
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
Iman Nematollahi
Erick Rosete-Beas
Adrian Rofer
Tim Welschehold
Abhinav Valada
Wolfram Burgard
19
15
0
25 Nov 2021
Learning Insertion Primitives with Discrete-Continuous Hybrid Action
  Space for Robotic Assembly Tasks
Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks
Yongyu Wang
Shiyu Jin
Changhao Wang
Xinghao Zhu
Masayoshi Tomizuka
26
42
0
25 Oct 2021
Adaptive control of a mechatronic system using constrained residual
  reinforcement learning
Adaptive control of a mechatronic system using constrained residual reinforcement learning
Tom Staessens
Tom Lefebvre
Guillaume Crevecoeur
22
16
0
06 Oct 2021
A study of first-passage time minimization via Q-learning in heated
  gridworlds
A study of first-passage time minimization via Q-learning in heated gridworlds
M. A. Larchenko
Pavel Osinenko
Grigory Yaremenko
V. V. Palyulin
26
4
0
05 Oct 2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
A. Mohtasib
Gerhard Neumann
Heriberto Cuayáhuitl
18
16
0
06 Aug 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep
  Reinforcement Learning for Robotics
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
BDL
OffRL
24
31
0
21 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of
  Sparse Reward Iterative Tasks
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
Albert Wilcox
Ashwin Balakrishna
Brijen Thananjeyan
Joseph E. Gonzalez
Ken Goldberg
29
11
0
10 Jul 2021
InsertionNet -- A Scalable Solution for Insertion
InsertionNet -- A Scalable Solution for Insertion
Oren Spector
Dotan Di Castro
32
51
0
29 Apr 2021
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry
Siyuan Dong
Devesh K. Jha
Diego Romeres
Sangwoon Kim
D. Nikovski
Alberto Rodriguez
40
116
0
02 Apr 2021
Combining Learning from Demonstration with Learning by Exploration to
  Facilitate Contact-Rich Tasks
Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
Yunlei Shi
Zhaopeng Chen
Yansong Wu
Dimitri Henkel
Sebastian Riedel
Hongxu Liu
Qian Feng
Jianwei Zhang
16
12
0
10 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
517
0
04 Feb 2021
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented
  Grasps
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
Jialiang Zhao
Daniel M. Troniak
Oliver Kroemer
24
14
0
04 Nov 2020
Learning Robot Trajectories subject to Kinematic Joint Constraints
Learning Robot Trajectories subject to Kinematic Joint Constraints
Jonas C. Kiemel
Torsten Kröger
22
7
0
01 Nov 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
32
36
0
26 Oct 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward
  Shaping for Robot Manipulation with Environment Uncertainty
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
Yongle Luo
Kun Dong
Lili Zhao
Zhiyong Sun
Chao Zhou
Bo Song
34
13
0
05 Mar 2020
Applying Depth-Sensing to Automated Surgical Manipulation with a da
  Vinci Robot
Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot
M. Hwang
Daniel Seita
Brijen Thananjeyan
Jeffrey Ichnowski
Samuel Paradis
Danyal Fer
Thomas Low
Ken Goldberg
8
31
0
15 Feb 2020
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