uav-swarm

[T-RO 24] Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms

🔥 CVPR 2025 (Nashville TN, USA) - The 4th Anti-UAV Workshop & Challenge 🥉

无人机动态覆盖控制；1. 实现了一个无人机点覆盖环境；2. 给出了无人机连通保持规则；3. 给出了基于MARL的控制算法

This is repository contains the code of the paper, "UAVs path planning by particle swarm optimization based on visual-SLAM algorithm"

Industrial cooperative-UAV fleet coordination in Rust — formation keeping, Raft consensus, cooperative task allocation, RRT-APF collision avoidance & MAPPO navigation for civilian SAR / inspection / agriculture

AI-supported DRONE Swarm – AI/EDGEIoT-based inspection and monitoring system for Natural Environment using Unreal Engine with Colosseum

Vortex vector field for collision avoidance in drone swarm formation control

ROS 1/2 and Docker port of HKU-MARS Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms

UAVLnQ: An Architecture for Security Analysis of Cyber-Physical Network Behavior in UAV Swarms

Decentralized autonomous drone swarm defense simulation using PyBullet, heuristic coordination, and multi-agent interception strategies.

Official Directed Research 1 (Ph. D. Year 1) delivery repository

Multi-drone swarm platform with custom DroneOS, AirSim simulation, formation control, telemetry, and a real-time ground control interface for coordinated autonomous flight.

ROS 2 Foxy&Humble-based UAV communication network using PX4 and NVIDIA Jetson (Orin/Nano), featuring multi-drone coordination, LOS/NLOS stress testing, QoS optimization, and optional UGV integration.

Decentralised UAV swarm for infrastructure-free search and rescue: Elastic-Mesh PSO, information-triggered delivery, ROS 2 / PX4 / Gazebo

AetherNet – Conceptual Pre-Cyclogenesis Disruption Architecture (Academic Release v1.0). Open, unowned, and released for scientific evaluation.

Simulation code, orbital data and analysis scripts for UAV-swarm distributed-aperture reception of LEO satellites — prediction-free geometric control beats a learned predictive one

MATLAB code for "Semantic-Aware Architecture Design for a Lifelong Swarm Metaverse" (IEEE IoT-J): PSO-based UAV-swarm mobility, Lyapunov task allocation and lifelong learning for edge computing.

Post-Quantum Secure UAV Swarm Communication, Telemetry & D2D Routing Framework (ML-KEM / ML-DSA)

Python simulation studying how perception errors (false positives, false negatives, sensor noise, latency, dropout) and sensor fusion modes (no fusion, naive, trust-weighted) affect multi-UAV swarm safety and mission success. Includes a matplotlib-based visualizer for live playback and CSV replay of simulation runs.