Aims & scope

The Journal of Intelligent Unmanned Systems aims to advance the science and engineering of intelligent autonomy across all types of unmanned platforms. The journal publishes original research articles, reviews, technical notes, and case studies on the theoretical foundations, practical applications, and emerging trends in the development and deployment of intelligent unmanned systems.

Topics of Interest Include, but Are Not Limited To:

1. Intelligent Autonomy and AI Integration

  • Machine learning, deep learning, and reinforcement learning for unmanned systems
  • Perception, cognition, and decision-making
  • Semantic understanding and situational awareness

2. Control and Automation

  • Advanced control strategies (adaptive, robust, nonlinear, optimal)
  • Model predictive and learning-based control
  • Supervisory and autonomous control systems
  • Distributed, cooperative, and swarm control
  • Real-time automation and embedded systems

3. Navigation, Planning, and Mapping

  • Autonomous path planning and motion planning
  • Simultaneous localization and mapping (SLAM)
  • Obstacle avoidance and terrain adaptation
  • Multi-agent coordination and task allocation

4. Sensing, Communication, and Data Fusion

  • Sensor integration and multimodal data processing
  • Cooperative sensing and V2X communication
  • Edge computing and onboard data analytics

5. System Architectures and Platforms

  • Hardware and software co-design for unmanned systems
  • Modular, scalable, and reconfigurable platforms
  • Human–machine interaction and shared autonomy

6. Applications and Case Studies

  • Civil applications: agriculture, logistics, infrastructure inspection, environmental monitoring
  • Industrial and commercial deployments
  • Defense and security operations
  • Regulatory, safety, and ethical aspects of unmanned system deployment