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fish_school_ground_truth contains the tracking data and files of the example in the paper "A data-driven procedure for modeling collective behavior" by de Andrade et al. (2024).

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fish_school_ground_truth

Tracking data

fish_school_ground_truth contains the tracking data (inside tracking_data folder) used in the paper "A data-driven procedure for modeling collective behavior" by de Andrade et al. (2024).

The authors would like to thank Dr. Jolle W. Jolles for the authorization to use his channel's video: https://youtu.be/gZ1rRRYSioc

Examples of application

Swarm of two-wheeled differential drive robots (HeRo)

Screenshot of the Gazebo running the swarm of robots.

For the installation, please visit the official HeRo documentation page here.

After the installation:

  1. Inside hero_common/hero_examples/launch you paste our example_hero.launch file.
  2. Inside hero_common/hero_examples/scripts you paste our example_hero_*.py and utils.py files, where * stands for 0,1,2,3, and 4.
  3. Inside hero_common/hero_gazebo/launch you paste our arena_0_five_robots.launch file.

Thus, you can start the Gazebo simulation by running this command:

$ roslaunch hero_gazebo gazebo_bringup.launch

Then, run this command to spawn the robots and the arena:

$ roslaunch hero_gazebo arena_0_five_robots.launch

Finally, you can run our code:

$ roslaunch hero_examples example_hero.launch

About

fish_school_ground_truth contains the tracking data and files of the example in the paper "A data-driven procedure for modeling collective behavior" by de Andrade et al. (2024).

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