Chair
Chao-Chung Peng, National Cheng Kung University, TW
Aim and Scope
Unmanned vehicles, including aerial, terrestrial, and aquatic platforms, are at the forefront of technological innovation, addressing challenges in defense, logistics, disaster response, and autonomous exploration. This Special Issue (SI) aims to gather cutting-edge research in the areas of control, design, diagnosis, navigation, localization, and path planning for unmanned vehicles, promoting interdisciplinary approaches to improve performance, reliability, and autonomy.
The SI will serve as a platform for researchers, engineers, and practitioners to share recent advancements, theoretical models, experimental validations, and practical applications of unmanned vehicle systems. It will also explore novel algorithms, robust control frameworks, and optimization techniques tailored to enhance mission success in dynamic and uncertain environments.
Topic of Interest
The proposed Special Issue invites high-quality original research and review articles on, but not limited to, the following topics:
- Control Systems and Strategies
- Adaptive and robust control of unmanned vehicles
- Nonlinear control and optimization techniques
- Fault-tolerant control systems
- Vehicle Design and Dynamics
- Multidisciplinary optimization for vehicle design and actuation
- Aerodynamic and hydrodynamic modeling
- Multi-degree-of-freedom dynamic modeling and simulation
- Fault Diagnosis and Health Monitoring
- FAI and ML approaches for system diagnosis
- FSensor fault detection and isolation techniques
- FPrognostics and health management systems
- Navigation and Localization
- GPS-denied navigation solutions
- Simultaneous localization and mapping (SLAM)
- Multi-sensor fusion for navigation
- Path Planning and Decision Making
- Motion planning in dynamic and cluttered environments
- Cooperative path planning for multi-vehicle systems
- Real-time optimization algorithms for mission planning
- AI and Machine Learning Applications
- Intelligent decision-making systems for unmanned vehicles
- Learning-based control design and navigation frameworks
- Reinforcement learning for autonomous perception
- Emerging Technologies and Applications
- Edge computing in unmanned vehicle systems
- Applications in disaster relief, surveillance, and logistics
- Swarm intelligence for coordinated operations
