(Include but not limited to)
Track 1: Industrial Automation
Automation, Control and Intelligent Systems
System Engineering Theory and Technology
Control Theory and Technology
System Modeling Theory
Fault Diagnosis and Fault-Tolerant Control
Fuzzy Systems and Fuzzy Control
Network Collaboration and Autonomous Control
Dynamic Programming and Reinforcement Learning
Artificial Intelligence-driven Automation
Knowledge Automation
Emerging Automation Theories and Technologies
Track 2: Robotics Technology
Intelligent Optical Sensing for Robot Control
Robot Vision and Environmental Perception Technology
Optical Navigation in Robots
Motion Planning and Path Optimization
Bionic Optical Perception and Movement
Cooperative Control of Multi-Robot Systems
Robots and Automation Technology
Application of Machine Learning in Robot Control
Unmanned Aerial Vehicles and Autonomous Mobile Robot Systems
Robot Applications in Industrial Automation
Integration of Robotics Technology and the Internet of Things
Artificial Intelligence-driven Autonomous Systems
Application of Virtual Simulation and Augmented Reality in Robots
Nonlinear Systems and Robust Control in Motion Control
Track 3: Intelligent Equipment
Design and System Integration of Intelligent Equipment
Sensors and Detection, Equipment Monitoring and Fault Diagnosis
Digital Twinning and Virtual Simulation Technology
Autonomous Control and Decision-making, Adaptive Regulation and Optimal Control
Intelligent Upgrade Solutions
Data-driven, Edge Computing and Cloud Computing Applications
Machine Vision and Image Processing Technology
Automation Systems, Energy Consumption Optimization and Green Manufacturing
Human-Computer Interaction System Design
Predictive Maintenance, Flexible Manufacturing and Flexible Control Strategies
Autonomous Operation, Scheduling and Resource Management, etc.