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

13 June 2019

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

31 / 31 papers shown

Title
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 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 Jianlan Luo Zheyuan Hu Charles Xu You Liang Tan Jacob Berg Archit Sharma S. Schaal Chelsea Finn Abhishek Gupta Sergey Levine OffRL OnRL 34 41 0 29 Jan 2024
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 Carolina Higuera Joseph Ortiz Haozhi Qi Luis Villaseñor-Pineda Byron Boots Mustafa Mukadam 49 4 0 28 Sep 2023
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 Sudhir Pratap Yadav R. Nagar S. Shah OffRL 24 3 0 31 Jan 2023
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 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 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 Letian Fu Huang Huang Lars Berscheid Hui Li Ken Goldberg Sachin Chitta 39 18 0 04 Oct 2022
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 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 Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 61 277 0 28 Jun 2022
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 João Carvalho Dorothea Koert Marek Daniv Jan Peters 29 8 0 08 Mar 2022
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 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 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 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. Mohtasib Gerhard Neumann Heriberto Cuayáhuitl 18 16 0 06 Aug 2021
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 Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 29 11 0 10 Jul 2021
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 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 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 Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 516 0 04 Feb 2021
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 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 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 M. Hwang Daniel Seita Brijen Thananjeyan Jeffrey Ichnowski Samuel Paradis Danyal Fer Thomas Low Ken Goldberg 8 31 0 15 Feb 2020