(The following topics include but are not limited to)
Track 1: Intelligent Algorithms
Application of machine learning in industrial scenarios
Evolutionary computing, swarm intelligence and meta-heuristic optimization algorithms
Multi-objective optimization, robust optimization and dynamic optimization
Large language models assisting industrial scheduling, fault diagnosis and report generation
Application of graph neural networks in industrial networks, process parameters and supply chain analysis
Enhancement of credibility of explainable artificial intelligence in industrial decision-making
Time series prediction, anomaly detection and intelligent early warning algorithms
Edge intelligence, federated learning and distributed optimization
Track 2: Mechatronics
Mechatronics design of collaborative robots
Intelligent sensing and integration of mechanical and electrical systems
Digital twin modeling of mechanical and electrical systems
Advanced motion control and integration of mechanical and electrical systems
Design and application of micro-electromechanical systems (MEMS)
Fault diagnosis and fault tolerance of mechanical and electrical systems
Mechanical and electrical transmission technology of industrial robots
Optimization of the electromechanical integration system of unmanned aerial vehicles
Embedded hardware development of mechanical and electrical systems
Electromagnetic compatibility design of mechanical and electrical systems
Track 3: Industrial Automation
Process automation driven by industrial Internet of Things
Flexible automated production lines in intelligent factories
Factory automation driven by digital twins
Design of distributed automation control systems
AI-enabled production scheduling automation
Industrial process automation detection and monitoring
Energy system automation scheduling optimization
Automated solutions for batch customization production
Network collaborative automatic control technology
Semiconductor manufacturing automation equipment ……