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 | 228 | 2021 |
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 | 183 | 2020 |
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 | 97 | 2022 |
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 | 64 | 2021 |
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 | 64 | 2021 |
A review of digital twin-driven machining: From digitization to intellectualization S Liu, J Bao, P Zheng Journal of Manufacturing Systems 67, 361-378, 2023 | 57 | 2023 |
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 | 49 | 2023 |
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 | 47 | 2022 |
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 | 39 | 2023 |
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 | 32 | 2022 |
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 | 29 | 2022 |
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 | 17 | 2021 |
Digital Twin-based manufacturing system: A survey based on a novel reference model S Liu, P Zheng, J Bao Journal of Intelligent Manufacturing, 1-30, 2023 | 12 | 2023 |
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 | 9 | 2021 |
Modeling and multi-view interaction of digital twin machining system based on augmented reality S Lu, S Liu, Z Ding Comput. Integr. Manuf. Syst 27, 456-466, 2021 | 9 | 2021 |
A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin J Pang, P Zheng, S Li, S Liu Journal of Manufacturing Systems 68, 477-492, 2023 | 8 | 2023 |
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 | 8 | 2022 |
A knowledge-driven digital twin modeling method for machining products based on biomimicry 刘世民, 孙学民, 陆玉前, 王柏村, 鲍劲松, 郭国强 Journal of Mechanical Engineering 57 (23), 182-194, 2021 | 8 | 2021 |
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin W Qu, J Li, R Zhang, S Liu, J Bao Journal of Intelligent Manufacturing, 1-23, 2023 | 7 | 2023 |
Leveraging error-assisted fine-tuning large language models for manufacturing excellence L Xia, C Li, C Zhang, S Liu, P Zheng Robotics and Computer-Integrated Manufacturing 88, 102728, 2024 | 6 | 2024 |