Welcome to Swarm! This repository is dedicated to exploring and implementing various swarm optimization algorithms and drone control techniques. Whether you're interested in multi-agent pathfinding, collaborative robotics, or autonomous drone systems, this repository will provide insights and code to bring swarm intelligence to life!
The Swarm repository is a collection of notebooks, scripts, and resources for:
- Implementing swarm optimization algorithms such as PSO, ACO, and others 馃悳
- Drone control setups for autonomous behaviors using ArduPilot and SITL 馃殎
- Advanced simulations and multi-agent coordination techniques 馃
- Tutorials and in-depth explanations for each algorithm and tool
Here's what you'll find in this repository:
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- ArduPilot & SITL Installation: A complete setup guide for running drone simulations and manual/automated control.
- Flight Modes Overview: Jupyter notebooks with detailed explanations of flight modes like Stabilize, Altitude Hold, Loiter, and more.
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- Particle Swarm Optimization (PSO): Code to simulate and visualize the PSO algorithm for multi-agent optimization tasks.
- Ant Colony Optimization (ACO): Implementation of ACO for pathfinding and shortest-path applications.
- Other Algorithms: Stay tuned for more swarm intelligence methods and approaches, with insights into their applications in robotics!
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- Autonomous Flight Scripts: Code snippets to set up and run autonomous missions, including formation flying and object detection.
- Control Command Demos: Commands to control drones in SITL, showcasing modes like Guided, Auto, Loiter, and RTL for multi-agent scenarios.
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Clone the Repo:
git clone https://github.com/Ahmed-AI-01/Swarm.git cd Swarm -
Install Requirements:
- Refer to each tutorial or notebook for installation steps specific to the optimization algorithm or simulation.
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Run the Drone Setup:
- Follow the ArduPilot & SITL Installation guide in the repository for a step-by-step setup to control and test drones virtually.
Happy Coding! 馃殌馃悵