Scopes
(The following topics include but are not limited to)
Track 1: Aircraft Control and Guidance Navigation
Design and verification of flight control laws
Adaptive and robust flight control
Nonlinear flight control methods
Intelligent flight control (neural networks/fuzzy control, etc.)
Fault-tolerant control and reconfiguration control technologies
Aircraft autonomous control and decision-making
Cooperative guidance and saturation attack technologies
Anti-interference and countermeasure technologies of guidance systems
Intelligent guidance and application of artificial intelligence
Modeling, simulation and accuracy assessment of guidance control systems
Global Navigation Satellite System (GNSS) and enhancement technologies
Inertial Navigation System (INS) and multi-source sensor fusion
Combined navigation (inertial/satellite/astronomy/visual) technology
Visual navigation and simultaneous localization and mapping
Autonomous navigation systems and path planning
State estimation and real-time correction techniques of navigation systems
Multimodal and cellular network fusion positioning technology
Track 2: Artificial Intelligence and Aircraft Intelligent Systems
Application of artificial intelligence and machine learning in flight control
Application of deep learning and neural networks in aircraft
Reinforcement learning and autonomous flight decision-making
Large language models (LLMs) and intelligent interaction with aircraft
Multimodal large models and aircraft environment understanding
Computer vision and aircraft visual perception
Multi-sensor fusion and aircraft state perception
Intelligent perception and target recognition tracking
Intelligent fault diagnosis and predictive maintenance
Interpretable AI and trustworthy flight decision-making
Federated learning and flight data collaboration
Edge intelligence and aircraft embedded AI
Embodied intelligence and aircraft autonomous operations
Generative AI and aircraft scene generation
Knowledge graph and aircraft intelligent reasoning
Track 3: Autonomous Systems and Autonomous Decision-making
Architecture of unmanned autonomous systems
Autonomous control and adaptation to complex environments
Autonomous decision support systems
Multi-platform autonomous coordination and formation control
Autonomous navigation and positioning integration technology
Autonomous space operation and maintenance
Task planning and execution optimization
Safety and robustness assessment of autonomous systems
Unmanned aircraft and satellite autonomous obstacle avoidance
Real-time environmental perception and response
Verification and evaluation methods of autonomous systems
Human-machine collaboration mechanism and hybrid intelligence
Autonomous adaptation to extreme environments
Edge computing and integration of autonomous systems
Application of autonomous systems in aerospace...
Track 1: Aircraft Control and Guidance Navigation
Design and verification of flight control laws
Adaptive and robust flight control
Nonlinear flight control methods
Intelligent flight control (neural networks/fuzzy control, etc.)
Fault-tolerant control and reconfiguration control technologies
Aircraft autonomous control and decision-making
Cooperative guidance and saturation attack technologies
Anti-interference and countermeasure technologies of guidance systems
Intelligent guidance and application of artificial intelligence
Modeling, simulation and accuracy assessment of guidance control systems
Global Navigation Satellite System (GNSS) and enhancement technologies
Inertial Navigation System (INS) and multi-source sensor fusion
Combined navigation (inertial/satellite/astronomy/visual) technology
Visual navigation and simultaneous localization and mapping
Autonomous navigation systems and path planning
State estimation and real-time correction techniques of navigation systems
Multimodal and cellular network fusion positioning technology
Track 2: Artificial Intelligence and Aircraft Intelligent Systems
Application of artificial intelligence and machine learning in flight control
Application of deep learning and neural networks in aircraft
Reinforcement learning and autonomous flight decision-making
Large language models (LLMs) and intelligent interaction with aircraft
Multimodal large models and aircraft environment understanding
Computer vision and aircraft visual perception
Multi-sensor fusion and aircraft state perception
Intelligent perception and target recognition tracking
Intelligent fault diagnosis and predictive maintenance
Interpretable AI and trustworthy flight decision-making
Federated learning and flight data collaboration
Edge intelligence and aircraft embedded AI
Embodied intelligence and aircraft autonomous operations
Generative AI and aircraft scene generation
Knowledge graph and aircraft intelligent reasoning
Track 3: Autonomous Systems and Autonomous Decision-making
Architecture of unmanned autonomous systems
Autonomous control and adaptation to complex environments
Autonomous decision support systems
Multi-platform autonomous coordination and formation control
Autonomous navigation and positioning integration technology
Autonomous space operation and maintenance
Task planning and execution optimization
Safety and robustness assessment of autonomous systems
Unmanned aircraft and satellite autonomous obstacle avoidance
Real-time environmental perception and response
Verification and evaluation methods of autonomous systems
Human-machine collaboration mechanism and hybrid intelligence
Autonomous adaptation to extreme environments
Edge computing and integration of autonomous systems
Application of autonomous systems in aerospace...
Important Dates/重要日期
- Submission Deadline: 2026.11.5
- Registration Deadline: 2026.11.12
- Conference Date: 2026.11.20
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: iacademic_info@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
蒋老师
+86-15680824672(微信同号)
3761629232
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