Authors are encouraged to submit previously unpublished research at the intersection of Machine
Learning and Unmanned Systems.
The Program Committee will select papers based on a combination of novelty, quality, interest, and
impact.
The MLUS 2026 conference topics are the following (but are not limited to):
Track 1: Machine Learning Theory and Methods
Deep Learning Models
Reinforcement Learning and Decision Making
Transfer Learning and Adaptive Methods
Federated Learning and Privacy
Graph Neural Networks
Explainable AI
Large-Scale Model Training
Multimodal Learning
Few-shot and Zero-shot Learning
Track 2: Unmanned Detection and Machine Vision
Image Recognition and Classification
Object Detection and Tracking
3D Reconstruction and Scene Understanding
Video Analysis and Behavior Recognition
Multispectral and Infrared Imaging
Anomaly Detection and Diagnosis
Visual Navigation and Localization
Pattern Recognition and Feature Extraction
Visual Data Fusion
Track 3: Communication and Signal Processing
UAV Communication Networks
Signal Processing and Optimization
Image Transmission and Compression
Multi-channel Data Fusion
Cooperative Communication and Networking
Low-power Communication Technologies
Self-organizing Network Protocols
Interference Suppression and Robustness
Integrated Space-Air-Ground Communication
Track 4: Control and Autonomous Systems
Intelligent Control Algorithms
Distributed Control Systems
Path Planning and Obstacle Avoidance
Swarm Cooperative Control
Adaptive Flight Control
Real-time Decision and Scheduling
Human-Machine Cooperative Control
Multi-Unmanned Systems Coordination
Control System Security
Track 5: Applications and System Integration
Intelligent Transportation and Logistics
Environmental Monitoring and Disaster Response
Military and Security Applications
Industrial Inspection and Automation
Healthcare and Medical Monitoring
Smart Cities and Infrastructure
Agricultural Unmanned Systems
Marine and Underwater Exploration
Energy and Power Systems
Track 6: Frontiers and Interdisciplinary Exploration
AI and Ethics
Security and Privacy in Unmanned Systems
Human-Computer Interaction and Interfaces
Brain-Computer Interfaces and Control
Quantum Computing and Machine Learning
Metaverse and Virtual Simulation
Cross-domain Data Fusion
Novel Sensors and Materials
Sustainable Development and Green AI
