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https://github.com/rishit-katiyar/spacecraft-swarm-dynamics-visualization
This repository contains code for visualizing spacecraft swarm dynamics, illustrating coordinated motion, communication networks, and distributed sensing capabilities of swarms of small satellites or spacecraft formations.
https://github.com/rishit-katiyar/spacecraft-swarm-dynamics-visualization
dynamics satellite simulation space space-exploration swarm visualization
Last synced: 2 months ago
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This repository contains code for visualizing spacecraft swarm dynamics, illustrating coordinated motion, communication networks, and distributed sensing capabilities of swarms of small satellites or spacecraft formations.
- Host: GitHub
- URL: https://github.com/rishit-katiyar/spacecraft-swarm-dynamics-visualization
- Owner: Rishit-katiyar
- License: gpl-3.0
- Created: 2024-04-29T23:29:26.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-08-25T15:24:07.000Z (6 months ago)
- Last Synced: 2024-08-25T16:37:43.172Z (6 months ago)
- Topics: dynamics, satellite, simulation, space, space-exploration, swarm, visualization
- Language: Python
- Homepage:
- Size: 773 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Spacecraft Swarm Dynamics Visualization 🛰️🌌
Welcome to the Spacecraft Swarm Dynamics Visualization repository! This project aims to visualize spacecraft swarm dynamics, illustrating coordinated motion, communication networks, and distributed sensing capabilities of swarms of small satellites or spacecraft formations.
## Introduction
Spacecraft swarm dynamics refer to the coordinated motion, communication networks, and distributed sensing capabilities of multiple spacecraft operating together in space. Understanding and visualizing these dynamics are crucial for various space missions, including satellite constellations, asteroid exploration, and space debris management.## Table of Contents
- [Introduction](#introduction)
- [Why Spacecraft Swarm Dynamics Visualization?](#why-spacecraft-swarm-dynamics-visualization)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)## Why Spacecraft Swarm Dynamics Visualization?
Spacecraft Swarm Dynamics Visualization provides a comprehensive tool for researchers, engineers, and space enthusiasts to explore and understand the behavior of spacecraft swarms. By visualizing coordinated motion, communication networks, and distributed sensing, users can gain valuable insights into the complex dynamics of these swarms, enabling better mission planning, spacecraft design, and space exploration strategies.![Figure_perfect_00102012](https://github.com/Rishit-katiyar/Spacecraft-Swarm-Dynamics-Visualization/assets/167756997/c5fdfeea-c678-4a50-be03-dd07a47e40d1)
## Installation
To use Spacecraft Swarm Dynamics Visualization, follow these steps:### 1. Clone the repository:
Clone the GitHub repository to your local machine using the following command:```
git clone https://github.com/Rishit-katiyar/Spacecraft-Swarm-Dynamics-Visualization.git
```### 2. Navigate to the project directory:
Use the `cd` command to navigate into the project directory:```
cd Spacecraft-Swarm-Dynamics-Visualization
```### 3. Install dependencies:
Install the required Python dependencies by running the following command:```
pip install -r requirements.txt
```This command will install all the necessary libraries listed in the `requirements.txt` file.
## Usage
Once you've installed the dependencies, you can run the visualization script to observe spacecraft swarm dynamics.### Running the script:
Run the following command to start the simulation:```
python Spacecraft-Swarm-Dynamics-Visualization.py
```Upon running the script, you will be prompted to select a mode for initializing the spacecraft swarm. Choose between "grid" or "circle" mode by entering the corresponding number and press Enter. The simulation will then start automatically.
## Contributing
Contributions to Spacecraft Swarm Dynamics Visualization are welcome! If you find any issues or have suggestions for improvement, feel free to open an issue or submit a pull request on GitHub.## License
This project is licensed under the GNU General Public License v3.0 (GNU GPLv3). See the [LICENSE](LICENSE) file for more details.