(Include but not limited to)
Track 1: Robotics Technology and Intelligent Systems
Industrial robot system design and control
Collaborative robots (Cobots) and human-machine collaboration safety
Autonomous mobile robots (AMR) and navigation obstacle avoidance
Robot motion planning, trajectory optimization and adaptive control
Robot perception and multi-sensor fusion
Machine vision and target recognition and grasping
Robot learning and reinforcement learning control
Multi-robot collaborative operations and swarm intelligence
Bionic robots and soft robotics systems
Service robots, medical and rehabilitation robots
Specialty robots and extreme environment operations
Robot operating systems (ROS) and software architecture
Robot digital twin and simulation verification platform
Robot fault diagnosis and health management (PHM)
Robot grasping, operation and precise assembly technology
Human-machine interaction, brain-computer interface and intelligent collaboration
Unmanned aircraft and aerial robot technology
Integration of robotics technology and artificial intelligence applications
Track 2: Mechatronics and System Integration
Mechatronics system design and integration
Precise motion control and servo drive technology
Intelligent sensors, actuators and MEMS/NEMS technology
Multi-physical field coupling modeling and simulation analysis
Mechanical-electrical system dynamics, vibration and noise control
Embedded systems and real-time control technology
Mechanical-electrical system fault diagnosis and fault-tolerant control
Mechanical-electrical system reliability and life prediction
Micro-nano mechatronics systems and precision manufacturing technology
Opto-mechatronics integration and photoelectric system design
Hydraulic, pneumatic and electro-hydraulic servo control technology
Mechanical-electrical system digital twin and virtual-real fusion
Intelligent materials and adaptive structure applications
Robot mechanical-electrical system and drive-control integration
Track 3: Intelligent Control and Automation Applications
Intelligent control theory and methods
Adaptive control, robust control and predictive control
Neural network control and fuzzy control
Application of deep learning and reinforcement learning in control
Distributed control systems and networked control
Multi-agent systems collaborative control
Data-driven control and system identification
Fault detection, diagnosis and fault-tolerant control
Complex system modeling, simulation and digital twin
Industrial automation and process control
Motion control and servo drive technology
Robot control and automation system integration
Information physical systems and safety control
Edge computing and cloud-edge collaborative intelligent management platform
......