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Main Features
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Developments
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AeroTerra - Multi UAV Exploration
Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm
Agent Frameworks - Multi-Agent Systems
AeroLat
Evolving Cost Functions for Model Predictive Control of Multi-Agent UAV Combat Swarms
Multi-UAV Area Coverage
Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models
Visual Simulation Software Demonstration for Quantum Multi-Drone Reinforcement Learning
Llama to control a UAV agent in Simulation
Multi Agent Reinforcement Learning Based Resource Allocation for UAV Networks
The Developer's Guide to Multi-Agent Automation | Itamar Friedman and Robert Brennan
Deep Dive
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Last Updated: October 1, 2026
Summary
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Summary
WHAT IS IT? This model represents "H. Cheng, L. Bertizzolo, S. D'Oro, J. Buczek, T. Melodia, and E. S. Bentley "Learning to Fly: A Distributed Deep-Reinforcement ... This project presents the development process of a AI-Augmented Swarm with heterogeneous This video presents AeroLat, a channel-aware latent semantic communication Using off-the-shelf, low-altitude multicopters equipped with high-quality cameras and GPS, our project team developed a preprint: arxiv.org/html/2505.08448v2 Published in IEEE Transactions on Mobile Computing (JULY 2026). Abstract: In ... Quantum computing (QC) has received a lot of attention according to its light training parameter numbers and computational ...
Nemala Alate Multi Agent Uav Software Framework.pdf
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