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This project focuses on developing a highly efficient and scalable search and rescue (SaR) strategy for drone swarms.

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IseanB/swarm-control

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swarm-control

Development Enviorment Setup

  1. Clone the repository.
  2. Go to the repository.
    • cd /path/to/your/project.
  3. Setup a virtual enviorment
  • python3 -m venv env
  • source env/bin/activate
  1. Install dependenceies
  • pip install matplotlib
  • pip install seaborn
  • pip install scipy
  • pip install networkx
  • pip install shapely
  • pip install tqdm
  1. Create a visualization output directory
  • cd path_to_your_project/swarm-control
  • mkdir visual_results

Running Simulation

  1. Go to the repository.
    • cd /path/to/your/project.
  2. Run python script
  • python3 src/main.py

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This project focuses on developing a highly efficient and scalable search and rescue (SaR) strategy for drone swarms.

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