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From the 2 of 4 linked papers with an AI index.

collaborators

4 papers

cs.RO2026

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning

Yu Su, Nabil Aouf

The paper presents a multi-agent deep reinforcement learning framework for cooperative UAV navigation in complex environments, incorporating coordinated exploration, hierarchical d…

cs.RO2026

Shared Voxel-Map-Based Cooperative Indoor UAV Guidance with a Multi-Agent Soft Actor-Critic Controller

Thomas Hickling, Dylan Wynne, Yu Su +1

The paper introduces a cooperative indoor UAV navigation system where multiple drones share a voxel‑based occupancy map and use a multi‑agent Soft Actor‑Critic controller to naviga…

cs.RO2026

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…

eess.SY2025

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…