- Home
- Publications
- Publication Search
- Publication Details
Title
Robot learning towards smart robotic manufacturing: A review
Authors
Keywords
-
Journal
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
Volume 77, Issue -, Pages 102360
Publisher
Elsevier BV
Online
2022-04-21
DOI
10.1016/j.rcim.2022.102360
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- How to train your robot with deep reinforcement learning: lessons we have learned
- (2021) Julian Ibarz et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function
- (2021) Quan Liu et al. ADVANCED ENGINEERING INFORMATICS
- Task-level decision-making for dynamic and stochastic human-robot collaboration based on dual agents deep reinforcement learning
- (2021) Zhihao Liu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning
- (2021) Tian Yu et al. JOURNAL OF MANUFACTURING SYSTEMS
- Robot learning system based on dynamic movement primitives and neural network
- (2021) Ying Zhang et al. NEUROCOMPUTING
- Improving human robot collaboration through Force/Torque based learning for object manipulation
- (2021) A. Al-Yacoub et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Toward next-generation learned robot manipulation
- (2021) Jinda Cui et al. Science Robotics
- Reward is enough
- (2021) David Silver et al. ARTIFICIAL INTELLIGENCE
- A reinforcement learning method for human-robot collaboration in assembly tasks
- (2021) Rong Zhang et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Optimised Learning from Demonstrations for Collaborative Robots
- (2021) Y.Q. Wang et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Robotic grasping: from wrench space heuristics to deep learning policies
- (2021) João Pedro Carvalho de Souza et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Sensorless force estimation for industrial robots using disturbance observer and neural learning of friction approximation
- (2021) Sichao Liu et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- A visual path-following learning approach for industrial robots using DRL
- (2021) Alan Maldonado-Ramirez et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Dynamic risk assessment and active response strategy for industrial human-robot collaboration
- (2020) Zhihao Liu et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Learning Mobile Manipulation through Deep Reinforcement Learning
- (2020) Cong Wang et al. SENSORS
- Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios
- (2020) Yuqian Lu et al. JOURNAL OF MANUFACTURING SYSTEMS
- Reinforcement learning for facilitating human-robot-interaction in manufacturing
- (2020) Harley Oliff et al. JOURNAL OF MANUFACTURING SYSTEMS
- Utilization of a reinforcement learning algorithm for the accurate alignment of a robotic arm in a complete soft fabric shoe tongues automation process
- (2020) Yu-Ting Tsai et al. JOURNAL OF MANUFACTURING SYSTEMS
- Digital twin-based industrial cloud robotics: Framework, control approach and implementation
- (2020) Wenjun Xu et al. JOURNAL OF MANUFACTURING SYSTEMS
- An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions
- (2020) Dong-Ok Won et al. Science Robotics
- Deep learning can accelerate grasp-optimized motion planning
- (2020) Jeffrey Ichnowski et al. Science Robotics
- Robots learn to identify objects by feeling
- (2020) Subramanian Sundaram Science Robotics
- Sensorless haptic control for human-robot collaborative assembly
- (2020) Sichao Liu et al. CIRP Journal of Manufacturing Science and Technology
- A peg-in-hole robot assembly system based on Gauss mixture model
- (2020) Jingzhou Song et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Robot skill acquisition in assembly process using deep reinforcement learning
- (2019) Fengming Li et al. NEUROCOMPUTING
- Human-robot collaboration in disassembly for sustainable manufacturing
- (2019) Quan Liu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Machine behaviour
- (2019) Iyad Rahwan et al. NATURE
- A Robot Learning Method with Physiological Interface for Teleoperation Systems
- (2019) Jing Luo et al. Applied Sciences-Basel
- Symbiotic human-robot collaborative assembly
- (2019) L. Wang et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Smart manufacturing systems: state of the art and future trends
- (2019) Y. J. Qu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Trends and challenges in robot manipulation
- (2019) Aude Billard et al. SCIENCE
- From Intelligence Science to Intelligent Manufacturing
- (2019) Lihui Wang Engineering
- Make more digital twins
- (2019) Fei Tao et al. NATURE
- Grandmaster level in StarCraft II using multi-agent reinforcement learning
- (2019) Oriol Vinyals et al. NATURE
- Learning and Comfort in Human–Robot Interaction: A Review
- (2019) Weitian Wang et al. Applied Sciences-Basel
- Digital twin-enabled reconfigurable modeling for smart manufacturing systems
- (2019) Chenyuan Zhang et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Reinforcement learning based on movement primitives for contact tasks
- (2019) Young-Loul Kim et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Multi-robot inverse reinforcement learning under occlusion with estimation of state transitions
- (2018) Kenneth Bogert et al. ARTIFICIAL INTELLIGENCE
- Decentralized Reinforcement Learning of Robot Behaviors
- (2018) David L. Leottau et al. ARTIFICIAL INTELLIGENCE
- Robot learning human stiffness regulation for hybrid manufacture
- (2018) Chao Zeng et al. ASSEMBLY AUTOMATION
- Robot learning of industrial assembly task via human demonstrations
- (2018) Maria Kyrarini et al. AUTONOMOUS ROBOTS
- Facilitating Human-Robot Collaborative Tasks by Teaching-Learning-Collaboration From Human Demonstrations
- (2018) Weitian Wang et al. IEEE Transactions on Automation Science and Engineering
- The limits and potentials of deep learning for robotics
- (2018) Niko Sünderhauf et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Sensor-less external force detection for industrial manipulators to facilitate physical human-robot interaction
- (2018) Bitao Yao et al. Journal of Mechanical Science and Technology
- Trajectory generation for robotic assembly operations using learning by demonstration
- (2018) David A. Duque et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Smart manufacturing
- (2017) Andrew Kusiak INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
- (2017) Sergey Levine et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- Learning Physical Collaborative Robot Behaviors From Human Demonstrations
- (2016) Leonel Rozo et al. IEEE Transactions on Robotics
- Robot skills for manufacturing: From concept to industrial deployment
- (2016) Mikkel Rath Pedersen et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Smart manufacturing: Past research, present findings, and future directions
- (2016) Hyoung Seok Kang et al. International Journal of Precision Engineering and Manufacturing-Green Technology
- Ensemble Coordination Approach in Multi-AGV Systems Applied to Industrial Warehouses
- (2015) Valerio Digani et al. IEEE Transactions on Automation Science and Engineering
- Robots that can adapt like animals
- (2015) Antoine Cully et al. NATURE
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Nonparametric statistical learning control of robot manipulators for trajectory or contour tracking
- (2015) Cong Wang et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- A Survey of Monte Carlo Tree Search Methods
- (2012) Cameron B. Browne et al. IEEE Transactions on Computational Intelligence and AI in Games
- Reinforcement based mobile robot navigation in dynamic environment
- (2010) Mohammad Abdel Kareem Jaradat et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- The Graph Neural Network Model
- (2008) F. Scarselli et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Reinforcement learning of motor skills with policy gradients
- (2008) Jan Peters et al. NEURAL NETWORKS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now