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Implementation of artificial potential field algorithm for path planning around static and dynamic obstacles

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snktshrma/artificial-potential-field-path-planning

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Artifical Potential Field Navigation

The repository contains scripts to simulate artificial potential field navigation for a robot. The scripts use attractive and repulsive forces to navigate the robot towards a goal while avoiding obstacles.

Running the Scripts

  1. Clone the repository:
git clone https://github.com/snktshrma/artificial-potential-field-path-planning.git
cd artificial-potential-field-path-planning
  1. Install the required packages:
pip install -r requirements.txt
  1. Run the script for static obstacles:
python static_obstacles.py

1

  1. Run the script for dynamic obstacles:
python dynamic_obstacles.py

2

License

This project is licensed under the MIT License - see the LICENSE file for details.

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