Artikel mit Open-Access-Mandaten - Shimin Liu(刘世民）Weitere Informationen
Nicht verfügbar: 14
A digital twin-driven approach for the assembly-commissioning of high precision products
X Sun, J Bao, J Li, Y Zhang, S Liu, B Zhou
Robotics and Computer-Integrated Manufacturing 61, 101839, 2020
Mandate: National Natural Science Foundation of China
A reinforcement learning method for human-robot collaboration in assembly tasks
R Zhang, Q Lv, J Li, J Bao, T Liu, S Liu
Robotics and Computer-Integrated Manufacturing 73, 102227, 2022
Mandate: National Natural Science Foundation of China
Multi-scale evolution mechanism and knowledge construction of a digital twin mimic model
S Liu, Y Lu, J Li, D Song, X Sun, J Bao
Robotics and Computer-Integrated Manufacturing 71, 102123, 2021
Mandate: National Natural Science Foundation of China
A blockchain-based interactive approach between digital twin-based manufacturing systems
S Liu, Y Lu, J Li, X Shen, X Sun, J Bao
Computers & Industrial Engineering 175, 108827, 2023
Mandate: National Natural Science Foundation of China
A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units
S Liu, Y Lu, X Shen, J Bao
Journal of Manufacturing Systems 68, 145-159, 2023
Mandate: National Natural Science Foundation of China
Adaptive reconstruction of digital twins for machining systems: A transfer learning approach
S Liu, Y Lu, P Zheng, H Shen, J Bao
Robotics and Computer-Integrated Manufacturing 78, 102390, 2022
Mandate: National Natural Science Foundation of China
Resilient digital twin modeling: A transferable approach
J Song, S Liu, T Ma, Y Sun, F Tao, J Bao
Advanced Engineering Informatics 58, 102148, 2023
Mandate: National Natural Science Foundation of China
An adaptive evolutionary framework for the decision-making models of digital twin machining system
S Liu, H Shen, J Li, Y Lu, J Bao
2021 IEEE 17th International Conference on Automation Science and …, 2021
Mandate: National Natural Science Foundation of China
Process-oriented unstable state monitoring and strategy recommendation for burr suppression of weak rigid drilling system driven by digital twin
M Xu, S Liu, H Shen, J Bao
The International Journal of Advanced Manufacturing Technology, 1-17, 2022
Mandate: National Natural Science Foundation of China
Intelligent material distribution and optimization in the assembly process of large offshore crane lifting equipment
X Shen, S Liu, C Zhang, J Bao
Computers & Industrial Engineering 159, 107496, 2021
Mandate: National Natural Science Foundation of China
Digital twin-based scheduling method for marine equipment material transportation vehicles
X Shen, S Liu, B Zhou, Y Zheng, J Bao
2022 IEEE 18th International Conference on Automation Science and …, 2022
Mandate: National Natural Science Foundation of China
基于增强现实的数字孪生加工系统建模与多视图交互
卢山雨， 刘世民， 丁志昆， 鲍劲松
计算机集成制造系统 27 (2), 456, 2021
Mandate: National Natural Science Foundation of China
Digital Twin-Driven Reinforcement Learning Method for Marine Equipment Vehicles Scheduling Problem
X Shen, S Liu, B Zhou, T Wu, Q Zhang, J Bao
IEEE Transactions on Automation Science and Engineering, 2023
Mandate: National Natural Science Foundation of China
A Multimodality Scene Graph Generation Approach for Robust Human–Robot Collaborative Assembly Visual Relationship Representation
J Lv, R Zhang, X Li, S Liu, T Liu, Q Zhang, J Bao
IEEE Transactions on Industrial Informatics, 2023
Mandate: National Natural Science Foundation of China
Verfügbar: 6
Digital twin modeling method based on biomimicry for machining aerospace components
S Liu, J Bao, Y Lu, J Li, S Lu, X Sun
Journal of manufacturing systems 58, 180-195, 2021
Mandate: National Natural Science Foundation of China
Machining process-oriented monitoring method based on digital twin via augmented reality
S Liu, S Lu, J Li, X Sun, Y Lu, J Bao
The International Journal of Advanced Manufacturing Technology 113, 3491-3508, 2021
Mandate: National Natural Science Foundation of China
A digital twin-driven human–robot collaborative assembly-commissioning method for complex products
X Sun, R Zhang, S Liu, Q Lv, J Bao, J Li
The International Journal of Advanced Manufacturing Technology, 1-14, 2022
Mandate: National Natural Science Foundation of China
Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach
S Liu, Y Sun, P Zheng, Y Lu, J Bao
Journal of Manufacturing Systems 62, 390-401, 2022
Mandate: National Natural Science Foundation of China
A performance prediction method for a high-precision servo valve supported by digital twin assembly-commissioning
X Sun, S Liu, J Bao, J Li, Z Liu
Machines 10 (1), 11, 2021
Mandate: National Natural Science Foundation of China
The Method of Machining Process Parameter Generation Based on MBD
P Ding, X Zheng, J Zhang, S Liu, C Ren
IOP Conference Series: Materials Science and Engineering 435 (1), 012048, 2018
Mandate: National Natural Science Foundation of China
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