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README.md

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@@ -51,36 +51,8 @@ pip install python-motion-planning==2.0.dev1
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```
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## Run
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Below are some simple examples.
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1. Run planning and animation separately
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```python
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import python_motion_planning as pmp
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planner = pmp.AStar(start=(5, 5), goal=(45, 25), env=pmp.Grid(51, 31))
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cost, path, expand = planner.plan()
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planner.plot.animation(path, str(planner), cost, expand) # animation
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```
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2. Run planning and animation in one step
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```python
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import python_motion_planning as pmp
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planner = pmp.AStar(start=(5, 5), goal=(45, 25), env=pmp.Grid(51, 31))
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planner.run() # run both planning and animation
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```
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3. Create planner in factory mode
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```python
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import python_motion_planning as pmp
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search_factory = pmp.SearchFactory()
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planner = search_factory("a_star", start=(5, 5), goal=(45, 25), env=pmp.Grid(51, 31))
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planner.run() # run both planning and animation
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```
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More examples can be found in the folder `examples` in the repository.
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## Documentation
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For more details, you can refer to [online documentation](https://ai-winter.github.io/python_motion_planning/).
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Please refer to the Tutorials part of [online documentation](https://ai-winter.github.io/python_motion_planning/).
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# Demos
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## Path Planner
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We provide a toy simulator with simple physical simulation to test controllers (path-trakcers). The toy simulator supports multi-agents/multi-robots. The available robots include `CircularRobot` (Omnidirectional) and `DiffDriveRobot` (Only support moving forward and backward). Currently only 2D simulator is provided. 3D simulator has not been implemented.
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In the following demos, the blue robot 1 is the `CircularRobot`, and the orange robot 2 is the `DiffDriveRobot`.
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|Planner|2D|3D
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|-------|-------|-------
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|**Path Trakcer**|![path_tracker_2d.gif](assets/path_tracker_2d.gif)|Not implemented

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