(The following topics include but are not limited to)
Track 1: Industrial Robot Systems and Integration
Design and optimization of industrial robot systems
Robot motion planning, trajectory optimization, and adaptive control
Collaborative robots (Cobots) and human-machine collaboration safety
Autonomous mobile robots (AMRs) and navigation obstacle avoidance technology
Multi-robot collaborative operations and production line integration optimization
Precise grasping and operation guided by robot vision
Robot learning (reinforcement learning, imitation learning) and intelligent decision-making
Robot perception, multi-sensor fusion, and state estimation
Robot fault diagnosis, health management (PHM), and fault-tolerant control
Specialized robots (welding, spraying, assembly, grinding, etc.) application technology
Robot digital twin and simulation verification platform
System integration and flexible manufacturing for intelligent manufacturing
Track 2: Motor Drives
High-performance servo motors and drive system design
Precise reducers, harmonic drives, and linear motor technologies
Advanced motion control and vibration suppression
Motor drive and frequency converter technology
Mechanical-electrical system modeling, simulation, and control
Embedded controllers and edge intelligent control units (MCU, DSP, FPGA)
High-precision motion control and trajectory planning
Mechanical-electrical-software-integrated design
Dynamic response and accuracy improvement of precise transmission systems
Fault detection, diagnosis, and fault-tolerant control
New energy equipment motor system integration (wind power, photovoltaic, new energy vehicles)
Electrical system design and reliability optimization of mechanical equipment
Track 3: Intelligent Control
Intelligent control theory and methods (fuzzy control, neural networks, adaptive control, etc.)
Control system optimization and decision-making driven by artificial intelligence
Model predictive control and nonlinear control
Industrial automation and process control
Industrial Internet of Things and intelligent interconnection management
Digital twin-driven intelligent operation and health management
Intelligent sensing, edge computing, and cloud-edge collaborative control
Intelligent manufacturing systems and intelligent decision support
Fault prediction and health management based on big data and deep learning
Autonomous systems and unmanned system navigation control
Networked control systems and distributed control
Intelligent fault diagnosis, life prediction, and preventive maintenance
......