2026 International Conference on Machine Learning and Unmanned Systems(MLUS 2026)

Call For Papers

2026 International Conference on Machine Learning and Unmanned Systems (MLUS 2026)  will bring together leading researchers, engineers and scientists in the domain of interest from around the world.


Topics of interest for submission include, 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 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 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 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 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 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


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