Haihua Zhu
Orcid: 0000-0001-5967-8914Affiliations:
- Nanjing University of Aeronautics and Astronautics, Nanjing, China
According to our database1,
Haihua Zhu authored at least 22 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Probing AR-assisted seamless HRC assembly for industry 5.0: Multi-modal mutual cognition and LLM-driven knowledge reasoning.
Robotics Comput. Integr. Manuf., 2026
From insight to autonomous execution: VLM-enhanced embodied agents towards digital twin-assisted human-robot collaborative assembly.
Robotics Comput. Integr. Manuf., 2026
Digital-twin-based reinforcement learning method for flexible assembly job-shop scheduling with dynamic material kitting.
Comput. Ind. Eng., 2026
A Large language model-based multi-agent manufacturing system for intelligent shopfloors.
Adv. Eng. Informatics, 2026
2025
Vision language model-enhanced embodied intelligence for digital twin-assisted human-robot collaborative assembly.
J. Ind. Inf. Integr., 2025
Enhancing machine tool predictive maintenance: A dual-model approach integrating improved deep autoencoders and graph attention network.
Comput. Ind. Eng., 2025
Probing a novel machine tool fault reasoning and maintenance service recommendation approach through data-knowledge empowered LLMs integrated with AR-assisted maintenance guidance.
Adv. Eng. Informatics, 2025
2024
Dynamic decision-making for knowledge-enabled distributed resource configuration in cloud manufacturing considering stochastic order arrival.
Robotics Comput. Integr. Manuf., June, 2024
An augmented reality-assisted interaction approach using deep reinforcement learning and cloud-edge orchestration for user-friendly robot teaching.
Robotics Comput. Integr. Manuf., February, 2024
An MBD-driven order remaining completion time prediction method based on SSA-BiLSTM in the IoT-enabled manufacturing workshop.
Int. J. Prod. Res., 2024
Collaborative dynamic scheduling in a self-organizing manufacturing system using multi-agent reinforcement learning.
Adv. Eng. Informatics, 2024
2023
Dynamic scheduling for flexible job shop using a deep reinforcement learning approach.
Comput. Ind. Eng., June, 2023
A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing.
Int. J. Prod. Res., 2023
Proceedings of the 8th International Conference on Control, Robotics and Cybernetics, 2023
2022
Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems.
Robotics Comput. Integr. Manuf., 2022
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing.
Robotics Comput. Integr. Manuf., 2022
2021
A flexible configuration method of distributed manufacturing resources in the context of social manufacturing.
Comput. Ind., 2021
Reinforcement Learning With Composite Rewards for Production Scheduling in a Smart Factory.
IEEE Access, 2021
A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System.
IEEE Access, 2021
2020
An improved hybrid particle swarm optimization for multi-objective flexible job-shop scheduling problem.
Kybernetes, 2020
2019
An Adaptive Real-Time Scheduling Method for Flexible Job Shop Scheduling Problem With Combined Processing Constraint.
IEEE Access, 2019
2017
An Orthogonal Multi-Swarm Cooperative PSO Algorithm with a Particle Trajectory Knowledge Base.
Symmetry, 2017