Latest Research in Distributed Control Multi-Agent Systems

Top Research Topics in Distributed Control Multi-Agent Systems

• Robotics — 6 papers
• Robotic Path Planning Algorithms — 3 papers
• Distributed Control Multi-Agent Systems — 1 papers
• Maritime Navigation and Safety — 1 papers
• Systems and Control — 1 papers
• Adaptive Dynamic Programming Control — 1 papers
• Artificial Intelligence — 1 papers
• Multiagent Systems — 1 papers
• Optimization and Control — 1 papers

Highest-Cited Papers

1. A Multi-UAV Cooperative Navigation Method Based on Policy Decomposition Structure
2. Learning-Based Dynamic Obstacle Avoidance for a UAV Using Only Three Range Sensors
3. Probability-aware search and rescue guidance and constrained NMPC for USV under marine environmental disturbances
4. TMG-MADRL: a transformer-based meta-graph multi-agent deep reinforcement learning framework for robot path planning in dynamic environments
5. Future-Aware Flow Planning for Safe UAV Target Following
6. Deep Reinforcement Learning Control for Path Following and Static Obstacle Avoidance for Autonomous Surface Vessels
7. Dynamic unmanned aerial vehicle path planning for rescue missions using trajectory-predictive and attention-enhanced deep recurrent SARSA
8. Learning to Fly: Stable Vision-Guided UAV Servoing with Compact Target-Centric Cues and Reinforcement Learning
9. Environment Parameter Gradient Theorem for Co-Design in Reinforcement Learning
10. Adaptive rocket trajectory optimization via reinforcement learning and FPGA acceleration
11. Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance
12. Vision-Based Agile Landing on Turbulent Waters
13. Generalizable Multi-Agent Planning from Signal Temporal Logic Specifications via Diffusion
14. Stochastic Control Problems Motivated by Sailboat Trajectory Optimization
15. Runtime Safety Filtering for Learned Small UAS Separation Policies under GNSS Degradation
16. VIP: Variation-based Iterative-learning Planning for Robotic Navigation