Jie Li
Orcid: 0000-0002-7655-3387Affiliations:
- Donghua University, College of Mechanical Engineering, Shanghai, China
According to our database1,
Jie Li
authored at least 18 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Adaptive planning of human-robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin.
J. Intell. Manuf., June, 2024
CarbonKG: Industrial Carbon Emission Knowledge Graph-Based Modeling and Application for Carbon Traceability of Complex Manufacturing Process.
J. Comput. Inf. Sci. Eng., 2024
2023
A blockchain-based interactive approach between digital twin-based manufacturing systems.
Comput. Ind. Eng., 2023
A MR-Assisted and Scene Perception System for Human-Robot Collaborative Disassembly of Power Batteries.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration.
Robotics Comput. Integr. Manuf., 2022
Robotics Comput. Integr. Manuf., 2022
Comput. Ind. Eng., 2022
Leveraging on causal knowledge for enhancing the root cause analysis of equipment spot inspection failures.
Adv. Eng. Informatics, 2022
A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing.
Adv. Eng. Informatics, 2022
Cognition-driven Robot Decision Making Method in Human-robot Collaboration Environment.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
Multi-scale Online Monitoring Method of Aerospace Products Assembly Workshop Based on Digital Twin.
Proceedings of the Digital Twins for Digital Transformation: Innovation in Industry, 2022
2021
A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops.
Robotics Comput. Integr. Manuf., 2021
Multi-scale evolution mechanism and knowledge construction of a digital twin mimic model.
Robotics Comput. Integr. Manuf., 2021
An adaptive evolutionary framework for the decision-making models of digital twin machining system.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2020
A digital twin-driven approach for the assembly-commissioning of high precision products.
Robotics Comput. Integr. Manuf., 2020
Real-time task processing for spinning cyber-physical production systems based on edge computing.
J. Intell. Manuf., 2020
ss5: A Neural Network-based Energy Consumption Prediction Model for Feature Selection and Paremeter Optimization of Winders.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020
2019
Enterp. Inf. Syst., 2019