This repository is a demonstration of Hybrid A*, a famous robot motion planning algorithm. Hybrid A* combines the benefits of grid-based and graph-based algorithms to efficiently navigate a robot in a continuous environment with obstacles.
- Implementation of the Hybrid A* algorithm
- Visualization of the robot's path in a 2D grid environment
- Integration with various robot simulators for real-time testing
- Documentation and examples to help understand and use the algorithm
To get started with the HybridA-Demo repository, follow these steps:
- Clone the repository:
git clone https://github.com/henryhcliu/HybridA-Demo.git - Install the required dependencies:
pip install -r requirements.txt - Run the demo application:
python hybrid_a_star.py
Contributions are welcome! If you have any ideas, bug reports, or feature requests, please open an issue or submit a pull request. Make sure to follow the contribution guidelines outlined in the repository.
This project was forked from AtsushiSakai/PythonRobotics and modified to create a standalone demonstration of the Hybrid A* algorithm. The original repository contains a collection of robotics algorithms implemented in Python.
This project is licensed under the MIT License. See the LICENSE file for more information.