(The following topics include but are not limited to)
Track 1: Aerospace Intelligence and Autonomous Systems
Intelligent perception, situation understanding and environment modeling of aerospace systems
Modeling, representation and cognitive reasoning of embodied intelligent agents in aerospace
Deep reinforcement learning and optimal guidance control
Task planning, optimization decision-making and game decision-making for aerospace systems
Distributed control and cluster coordination of unmanned aircraft/satellite formations
Autonomous obstacle avoidance and trajectory planning under multiple constraints
Star-based federated learning and distributed optimization
Digital twin and on-orbit health management
Lightweight AI models and on-board edge intelligence deployment
Brain-inspired computing and low-power intelligent processing
Cluster optimization scheduling and low-altitude airspace control
Autonomous fault diagnosis and fault-tolerant control of aerospace systems
Track 2: Aerospace Communication, Sensing and Electronic Technology
Integrated aerospace-ground-space communication networks and resource scheduling
Theory of integrated perception and waveform design
High dynamic channel modeling and capacity analysis
Electromagnetic spectrum sensing and intelligent confrontation
Opportunistic signal navigation in GPS-free environments
Intelligent reflector-assisted aerospace communication
Satellite inter-satellite link networking and routing optimization
Multi-mode optoelectronic fusion sensing front-end
Plasma physics and re-entry blackout issues
High-power microwave protection and electromagnetic compatibility
Terahertz/millimeter-wave front-end and phased array technology
Conformal antennas and intelligent skin technology
Track 3: Human-Machine Interaction and Aerospace Safety
Human-machine hybrid decision-making and explainable AI control
Natural interaction technologies (voice, gestures, etc.) in cognitive aviation systems
Real-time monitoring of pilot/operator status (eye movement, EEG, ECG, etc.)
Brain-computer interface and ergonomics
Intelligent human-machine interface and augmented reality-assisted decision-making
Transparent AI and natural human-machine interaction framework
Aerospace human-machine hybrid decision-making and explainable AI control
Multimodal natural interaction interface design (voice, gestures, etc.)
Operator workload assessment based on behavioral/physiological measurements
Aerospace human-agent trust mechanism and collaborative effectiveness
Cognitive aircraft systems and decision support assistance
Augmented reality/mixed reality in aerospace operations
Human-machine collaborative mission planning and situational awareness
Intelligent avionics systems and cockpit interaction modernization
Cognitive load and human factors engineering in flight safety
Large model-assisted aerospace situational awareness and decision support
Human-robot collaboration in deep space missions
Elasticity and safety of human-machine hybrid intelligence in aerospace tasks
...