(Including but not limited to the following topics)
Track 1: Mechanical and Electrical Systems
Control System Modeling Sensor
Industrial automation, electrical automation
Manufacturing process simulation
CIMS and manufacturing systems
Mechanical and fluid flow dynamics
Vibration measurement and reliability analysis
Finite element analysis and structural optimization
Fault diagnosis and maintenance theory
Intelligent robots and automation
Complex electromechanical fluid systems
Machine vision and automated detection technology
Artificial intelligence and integration design of electromechanical systems
Micro-systems, manufacturing systems
Biomechatronics
Digital manufacturing
Human-computer interaction, system monitoring
Autonomous systems, aerospace systems
Power systems
Track 2: Industrial robots
Robot sensor technology and signal processing
Robot dynamic control
Gesture recognition and motion capture technology
Force feedback and tactile sensing technology
New robot materials and structure design
Robot kinematics and dynamics algorithms
Autonomous navigation
Robot intelligent perception and environmental perception technology
Human-machine collaboration systems and technologies
Dynamic control and motion planning of multi-joint robots
Robot embedded systems
Robot vision and pattern recognition technology
Soft robotics and bionics technology
Track 3: Deep learning
Recurrent neural networks
Sparse coding
Neural fuzzy algorithms
Evolutionary computing methods
Convolutional neural networks, deep hierarchical networks
Unsupervised feature learning
Deep Boltzmann machines
Generative adversarial networks
Deep belief networks
Meta-learning and deep networks Deep reinforcement learning
Deep generative model learning
Deep kernel learning
Gaussian process in machine learning
Deployment of large models
Lightweight models
Generative automation
Federated intelligence ......