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A Knowledge-Informed Learning Framework for Precise Assembly Task with Uncertainties
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inferredcites →https://doi.org/10.1002/aisy.202100095openalex-extracted
Learning Assembly Tasks in a Few Minutes by Combining Impedance Control and Residual Recurrent Reinforcement Learning
inferredcites →https://doi.org/10.1016/j.neucom.2019.01.087openalex-extracted
Robot skill acquisition in assembly process using deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.procir.2014.10.077openalex-extracted
Position Identification in Force-Guided Robotic Peg-in-Hole Assembly Tasks
inferredcites →https://doi.org/10.1108/aa-09-2016-120openalex-extracted
Force control for a rigid dual peg-in-hole assembly
inferredcites →https://doi.org/10.1108/ir-07-2014-0363openalex-extracted
Solving peg-in-hole tasks by human demonstration and exception strategies
inferredcites →https://doi.org/10.1109/access.2021.3073711openalex-extracted
Hybrid Trajectory and Force Learning of Complex Assembly Tasks: A Combined Learning Framework
inferredcites →https://doi.org/10.1109/icarsc55462.2022.9784775openalex-extracted
Robotic Framework for Autonomous Assembly: a Report from the Robothon 2021 Grand Challenge
inferredcites →https://doi.org/10.1109/icra.2015.7138994openalex-extracted
Learning contact-rich manipulation skills with guided policy search
inferredcites →https://doi.org/10.1109/icra.2016.7487162openalex-extracted
A framework for fine robotic assembly
inferredcites →https://doi.org/10.1109/icra.2018.8460696openalex-extracted
Learning Robotic Assembly from CAD
inferredcites →https://doi.org/10.1109/icra.2019.8793506openalex-extracted
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
inferredcites →https://doi.org/10.1109/icra.2019.8794127openalex-extracted
Residual Reinforcement Learning for Robot Control
inferredcites →https://doi.org/10.1109/icra48506.2021.9561891openalex-extracted
Learning Dense Rewards for Contact-Rich Manipulation Tasks
inferredcites →https://doi.org/10.1109/irc52146.2021.00012openalex-extracted
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach
inferredcites →https://doi.org/10.1109/iros.2017.8202244openalex-extracted
Deep reinforcement learning for high precision assembly tasks
inferredcites →https://doi.org/10.1109/iros45743.2020.9340848openalex-extracted
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
inferredcites →https://doi.org/10.1109/iros45743.2020.9341260openalex-extracted
Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization
inferredcites →https://doi.org/10.1109/iros45743.2020.9341714openalex-extracted
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
inferredcites →https://doi.org/10.1109/iros51168.2021.9636176openalex-extracted
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty
inferredcites →https://doi.org/10.1109/iros51168.2021.9636547openalex-extracted
Learning Contact-Rich Assembly Skills Using Residual Admittance Policy
inferredcites →https://doi.org/10.1109/lra.2020.3010739openalex-extracted
Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots
inferredcites →https://doi.org/10.1109/lra.2021.3060389openalex-extracted
Reinforcement Learning for Robotic Assembly Using Non-Diagonal Stiffness Matrix
inferredcites →https://doi.org/10.1109/lra.2022.3191070openalex-extracted
Reinforcement Learning of Impedance Policies for Peg-in-Hole Tasks: Role of Asymmetric Matrices
inferredcites →https://doi.org/10.1109/mra.2022.3207664openalex-extracted
Guided Reinforcement Learning: A Review and Evaluation for Efficient and Effective Real-World Robotics [Survey]
inferredcites →https://doi.org/10.1109/tcst.2004.824320openalex-extracted
Force Tracking Impedance Control of Robot Manipulators Under Unknown Environment
inferredcites →https://doi.org/10.1109/tro.2019.2959445openalex-extracted
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
inferredcites →https://doi.org/10.1109/tsmc.1981.4308708openalex-extracted
Compliance and Force Control for Computer Controlled Manipulators
inferredcites →https://doi.org/10.1115/1.3149634openalex-extracted
Quasi-Static Assembly of Compliantly Supported Rigid Parts
inferredcites →https://doi.org/10.1126/scirobotics.aat6385openalex-extracted
Can robots assemble an IKEA chair?
inferredcites →https://doi.org/10.3389/frobt.2021.777363openalex-extracted
An Adaptive Imitation Learning Framework for Robotic Complex Contact-Rich Insertion Tasks
inferredcites →https://doi.org/10.48550/arxiv.1707.08817openalex-extracted
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
inferredcites →https://doi.org/10.48550/arxiv.1801.01290openalex-extracted
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
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