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Takumi Ito
committedApr 4, 2024
insert astar python documents into the README
Signed-off-by: Takumi Ito <takumi.ito@tier4.jp>
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‎planning/freespace_planning_algorithms/README.md

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@@ -74,6 +74,21 @@ The black cells, green box, and red box, respectively, indicate obstacles,
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start configuration, and goal configuration.
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The sequence of the blue boxes indicate the solution path.
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## Extension to Python module (only A\* supported)
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There is an implementation of the extension to the python module.
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You can try A\* search via Python by setting follows:
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- parameters,
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- costmap,
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- start pose,
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- goal pose.
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Then, you can get
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- success or failure,
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- searched trajectory.
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The example code is [scripts/example/example.py](scripts/example/example.py).
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Note that you need to build this package and source the setup shell script in advance.
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## License notice
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Files `src/reeds_shepp.cpp` and `include/astar_search/reeds_shepp.h`

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