Graph-Attention AI Teaches Drone Swarms to Optimize Communication Networks
A new simulation study presents a graph attention-based multi-agent reinforcement learning framework that jointly optimizes drone swarm trajectories, transmission power, ...
A new simulation study presents a graph attention-based multi-agent reinforcement learning framework that jointly optimizes drone swarm trajectories, transmission power, ...
A PRISMA-based systematic review of 119 studies from 2018 to 2026 maps AI and robotics applications across industries, alongside challenges ...
A new simulation study reports that an agentic AI and UAV system cut simulated post-typhoon inspection times by 34.5 to ...
A University of Cincinnati student proof of concept combines autonomous drones, LIDAR and a photorealistic virtual-reality model for warehouse inventory ...
Researchers built ViTDrone, a Vision Transformer framework that simultaneously steers a drone through corridors and detects collisions while using Grad-CAM ...
Researchers at TU Delft have developed MonoRace, an AI system that flew a racing drone at up to 100 km/h ...
Researchers in China have developed RAUD-MAPPO, a role-aware and uncertainty-driven multi-agent reinforcement learning framework that raises win rates and enables ...
Researchers in China have combined game theory with a bioinspired neural network to coordinate drone swarms for faster, more reliable ...
In the expansive realm of aerospace engineering, researchers are increasingly turning to nature for inspiration, and nowhere is this more ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine