📚︎Track 1: Intelligent Perception, Machine Learning and Autonomous Systems

· Intelligent perception and multimodal information fusion; · Machine learning, deep learning, and reinforcement learning; · Computer vision and pattern recognition; · Autonomous systems and intelligent decision-making; · Edge intelligence and embedded intelligent systems; · Intelligent robots and autonomous navigation; · Applications of artificial intelligence in complex scenarios; · Data-driven perception, recognition, and prediction; · Intelligent monitoring, environmental understanding, and behavior analysis; · Sensing, reasoning, and optimization for intelligent systems;

📚︎Track 2: Control Theory, System Modeling and Industrial Automation

· Modern control theory; · Nonlinear control, robust control, and adaptive control; · Optimal control and model predictive control; · System identification, modeling, and simulation; · Industrial process control; · Networked control systems; · Fault diagnosis, fault-tolerant control, and safety control; · Distributed control and multi-agent coordination control;

📚︎Track 3: Integrated Sensing and Closed-Loop Intelligent Control Systems

· Perception-decision-control integrated systems; · Vision-based and sensor-based closed-loop control; · Robot perception and motion control; · Autonomous navigation and path planning; · Human-machine collaborative control; · Perception-control fusion in intelligent manufacturing; · Adaptive closed-loop systems in complex environments; · Optoelectronic sensing-driven intelligent control systems;