1 citations · 2 across the 5 of their papers we have counts for
5 papers
Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning
Yu Su, Nabil Aouf
Cooperative navigation of multi-agent UAVs in complex environments faces key challenges including local optima traps, sparse rewards, learning imbalance among agents, and insuffici…
Shared Voxel-Map-Based Cooperative Indoor UAV Guidance with a Multi-Agent Soft Actor-Critic Controller
Thomas Hickling, Dylan Wynne, Yu Su +1
This paper presents a cooperative indoor UAV guidance framework that combines a shared voxel-map world model with a multi-agent Soft Actor-Critic (MASAC) controller. Multiple drone…
Deep Reinforcement Learning based Autonomous Decision-Making for Cooperative UAVs: A Search and Rescue Real World Application
Thomas Hickling, Maxwell Hogan, Abdulla Tammam +1
This paper presents the first end-to-end framework that combines guidance, navigation, and centralised task allocation for multiple UAVs performing autonomous search-and-rescue (SA…
Explainable Convolutional Networks for Crater Detection and Lunar Landing Navigation
Jianing Song, Nabil Aouf, Duarte Rondao +2
The Lunar landing has drawn great interest in lunar exploration in recent years, and autonomous lunar landing navigation is fundamental to this task. AI is expected to play a criti…
Validation of Neural Network Controllers for Uncertain Systems Through Keep-Close Approach: Robustness Analysis and Safety Verification
Abdelhafid Zenati, Nabil Aouf
Among the major challenges in neural control system technology is the validation and certification of the safety and robustness of neural network (NN) controllers against various u…