Cooperative motion planning and control of a group of autonomous underwater vehicles using twin-delayed deep deterministic policy gradient

Keyphrases

• Autonomous Underwater Vehicle 100%
• Coordinated Motion Planning 100%
• Cooperative Motion Control 100%
• Twin Delayed Deep Deterministic Policy Gradient Algorithm 100%
• Multiple Autonomous Underwater Vehicles (multi-AUVs) 40%
• Reward Function 20%
• Planning Method 20%
• Cooperative Execution 20%
• Obstacle Avoidance 20%
• Collision-free Path 20%
• Path Planning 20%
• Self-collision Avoidance 20%
• Control Policy 20%
• Proposed Strategy 20%
• Artificial Potential Field 20%
• Control Signal 20%
• Collision Avoidance 20%
• Region Control 20%
• Environmental Disturbance 20%
• Control Strategy 20%
• Dynamic Disturbance 20%
• Federated Deep Reinforcement Learning 20%
• Navigation Safety 20%
• Mission Success 20%
• Nonlinear Dynamics 20%
• Robustness against Disturbance 20%
• Vehicle Collision Avoidance 20%
• Obstacle Collision Avoidance 20%
• Deep Reinforcement Learning Algorithm 20%

Computer Science

• Motion Control 100%
• Motion Planning 100%
• Generalizability 50%
• Deep Reinforcement Learning 50%
• Reinforcement Learning 50%
• artificial potential field 50%
• Complex Task 50%
• Control Strategy 50%
• Planning Method 50%
• Control Signal 50%
• path-planning 50%
• Mission Success 50%
• Obstacle Avoidance 50%

Engineering

• Cooperative 100%
• Autonomous Underwater Vehicle 100%
• Collision Avoidance 42%
• Path Planning 14%
• Simulation Result 14%
• Control Signal 14%
• Non-Linear Dynamic 14%
• Safe Navigation 14%
• Policy Control 14%
• Mission Success 14%
• Reinforcement Learning 14%
• Environmental Disturbance 14%
• Feasible Control 14%
• Free Path 14%
• Obstacle Avoidance 14%
• Control Strategy 14%
• Responsiveness 14%