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Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for
  Industrial Insertion of Novel Connectors from Vision
v1v2 (latest)

Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision

IEEE International Conference on Robotics and Automation (ICRA), 2022
27 October 2022
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
    OffRLOnRL
ArXiv (abs)PDFHTML

Papers citing "Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision"

13 / 13 papers shown
Title
SHaRe-RL: Structured, Interactive Reinforcement Learning for Contact-Rich Industrial Assembly Tasks
SHaRe-RL: Structured, Interactive Reinforcement Learning for Contact-Rich Industrial Assembly Tasks
Jannick Stranghöner
Philipp Hartmann
Marco Braun
Sebastian Wrede
Klaus Neumann
OffRL
67
3
0
17 Sep 2025
EasyInsert: A Data-Efficient and Generalizable Insertion Policy
EasyInsert: A Data-Efficient and Generalizable Insertion Policy
Guanghe Li
Junming Zhao
Shengjie Wang
Yang Gao
313
1
0
22 May 2025
Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies
Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion PoliciesIEEE International Conference on Robotics and Automation (ICRA), 2025
Isidoros Marougkas
Dhruv Metha Ramesh
Joe H. Doerr
Edgar Granados
Aravind Sivaramakrishnan
Abdeslam Boularias
Kostas E. Bekris
OffRL
145
4
0
17 May 2025
Zero-Shot Peg Insertion: Identifying Mating Holes and Estimating SE(2) Poses with Vision-Language Models
Masaru Yajima
Kei Ota
Asako Kanezaki
Rei Kawakami
229
0
0
08 Mar 2025
MILES: Making Imitation Learning Easy with Self-Supervision
MILES: Making Imitation Learning Easy with Self-SupervisionConference on Robot Learning (CoRL), 2024
Georgios Papagiannis
Edward Johns
VLMSSL
239
11
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
Rohit Menon
Shady A. Maged
Mohammed I. Awad
Maren Bennewitz
OffRL
366
0
0
24 Sep 2024
Simple Ingredients for Offline Reinforcement Learning
Simple Ingredients for Offline Reinforcement Learning
Edoardo Cetin
Andrea Tirinzoni
Matteo Pirotta
A. Lazaric
Yann Ollivier
Ahmed Touati
OffRL
294
2
0
19 Mar 2024
Efficient Online Learning of Contact Force Models for Connector
  Insertion
Efficient Online Learning of Contact Force Models for Connector InsertionIEEE International Conference on Robotics and Automation (ICRA), 2023
K. Tracy
Zachary Manchester
Ajinkya Jain
Keegan Go
S. Schaal
Tom Erez
Yuval Tassa
133
5
0
14 Dec 2023
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 AdaptationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Geonhyup Lee
Joosoon Lee
Sangjun Noh
Minhwan Ko
Kangmin Kim
Kyoobin Lee
175
7
0
05 Dec 2023
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with
  Multi-Step On-Policy Optimization
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy OptimizationInternational Conference on Learning Representations (ICLR), 2023
Kun Lei
Zhengmao He
Chenhao Lu
Kaizhe Hu
Yang Gao
Huazhe Xu
OffRLOnRL
302
23
0
06 Nov 2023
Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic
  Gaussian Mixture Models
Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture ModelsInternational Symposium on Experimental Robotics (ISER), 2023
Iman Nematollahi
Kirill Yankov
Wolfram Burgard
Tim Welschehold
208
3
0
23 Oct 2023
Balancing policy constraint and ensemble size in uncertainty-based
  offline reinforcement learning
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learningMachine-mediated learning (ML), 2023
Alex Beeson
Giovanni Montana
OffRL
193
15
0
26 Mar 2023
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning
  During Deployment
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
Huihan Liu
Soroush Nasiriany
Lance Zhang
Zhiyao Bao
Yuke Zhu
308
95
0
15 Nov 2022
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