CALL FOR PAPERS
CALL FOR PAPERS
The 2026 International Conference on Low-Altitude Airspace and Artificial Intelligence (LAAI 2026) is the premier forum for the presentation of new advances and research results in the fields of Low-Altitude Airspace and Artificial Intelligence. The conference will bring together leading researchers, engineers and architects in the domain of interest from around the world.
Topics of interest for submission include, but are not limited to:
Theme 1: Low-Altitude Airspace
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Low-altitude Economy
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Aircraft intelligence
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Autonomous Flight Control
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Artificial Intelligence Algorithm
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Optical and multi-modal sensing for low-altitude surveillance and airspace security
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Fault diagnosis and predictive maintenance
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Optimization of Low altitude Traffic Management
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Traffic Management and Scheduling
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Laser and LiDAR-based obstacle detection and collision avoidance in low-altitude airspace
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Intelligent perception and monitoring
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Application of low altitude economy
Theme 2: Drone applications
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Mechanical drawing
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Introduction to drones and flight regulations, drone control technology
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Electrical and electronic technology
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Optical fiber sensing for UAV structural health monitoring and shape reconstruction
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Uav assembly and commissioning
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Microcontroller and embedded system, sensor and detection technology
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Uav structure and system
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Computational imaging and AI-accelerated reconstruction for UAV visual navigation
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Aerodynamics and principles of flight
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Aerodynamics and principles of flight
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Uav flight control technology, low altitude UAV flight technology
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Uav installation, commissioning, control, maintenance and repair skills
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Innovative application of agricultural drones in precision agriculture
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The advantages of UAV in infrastructure inspection and industrial monitoring
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UAV-borne multispectral/hyperspectral remote sensing for precision agriculture and environmental monitoring
Theme 3: Artificial Intelligence
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Artificial intelligence application and technology
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Artificial neural network
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Artificial intelligence tools and applications
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AI-empowered inverse design of metasurfaces and photonic devices
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Bayesian networks, neuroinformatics
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Robots, data mining
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DNA computing and quantum computing
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Study computational theory, computing and thinking, and natural language processing
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Intelligent system architecture, intelligent network
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Pervasive computing and environmental intelligence
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Non-classical computing and new computing models
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Evolution inspired the foundations of computing and artificial intelligence
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Fuzzy logic and methods, machine learning, multi-agent systems
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Photonic hardware accelerators and optical neural networks for edge AI
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Physics-informed machine learning for optical imaging and sensing systems
Theme 4: Aerospace Engineering
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Aerodynamics and airflow physics
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Spacecraft thermal control
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Aerospace materials science
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Propulsion system physics
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Satellite dynamics and orbital physics
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Laser and optical technology in avionics: LiDAR, optical communication, and photonic sensing
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Acoustic physics in aircraft design
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Space navigation and quantum sensors
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Energy systems in spacecraft
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Electromagnetism in satellite communications
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Atmospheric reentry physics
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Space exploration technology
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Spacecraft radiation protection
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Aeroelasticity and load dynamics
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Optical communication and photonic data links for low-altitude platforms