Latest Research in UAV Applications and Optimization

Top Research Topics in UAV Applications and Optimization

• Robotics — 13 papers
• UAV Applications and Optimization — 4 papers
• Artificial Intelligence — 2 papers
• Satellite Communication Systems — 2 papers
• Adversarial Robustness in Machine Learning — 1 papers
• Guidance and Control Systems — 1 papers
• Advanced Vision and Imaging — 1 papers
• Systems and Control — 1 papers
• Advanced Neural Network Applications — 1 papers
• Advanced Optimization Algorithms Research — 1 papers

Highest-Cited Papers

1. Causality-inspired kinematics-constrained adversarial trajectory generation for swarm intention recognition
2. Revisiting multi-objective three-dimensional trajectory planning in dynamic unmanned aerial vehicles assisted systems using online Monte Carlo Search methods
3. RTK-Vision PPO for Autonomous Micro UAV Recovery on an Airborne Carrier
4. Universal Navigation Interface: Robot-Free Data for Wheeled Robot Navigation
5. REMP: A transformer with role-specific experts and multi-scale positional encoding for autonomous multi-UAV air combat
6. Language-Guided Terrain-Adaptive Neural MPC for Autonomous Traversal of Articulated Tracked Robots
7. Action-Conditioned Mamba with Conformal Recovery for PTZ-Based UAV Tracking
8. A Time-to-Collision Barrier Function Approach to Collision Avoidance for Stochastic Systems
9. Distributed Model-Based Diffusion For Scalable Multi-Robot Trajectory Optimization
10. PV-STAM: Velocity-Aware Attention for Mapless Deep Reinforcement Learning Navigation in Dynamic Environments
11. Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors
12. A Learnable Sparse Attention Graph Architecture for Heterogeneous Multi-UAV Air-to-Ground Mission Planning
13. An Adaptive Multiple Shooting Strategy for Optimal Control
14. DRG-MAPPO: Hierarchical Dynamic Role-Graph Multi-Agent Reinforcement Learning for Cooperative Air Combat
15. Multi-Agent Reinforcement Learning for Autonomous UAV Exploration in Wildfire Response
16. ACR-Nav: Localization-Free Corridor Navigation via Action-Conditioned Scalar-Range Evolution
17. Learning Acrobatic Flight from Preferences
18. DCLP++: Learning to Navigate with Footprint Clearance and Relative Motion
19. MuJoCo-Based Sim-to-Real Reinforcement Learning for Transition Control of a Triple Inverted Pendulum
20. SMaRT-Tug: Structured Multi-Agent Reinforcement Learning for Physics-Based Tugboat-Barge Collaborative Manipulation