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update getting started (#1133)
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@@ -8,6 +8,6 @@ Getting Started
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:caption: Contents
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1_what_is_python_robotics
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2_how_to_use
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2_how_to_run_sample_codes
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3_how_to_contribute
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4_how_to_read_textbook
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@@ -6,6 +6,9 @@ What is PythonRobotics?
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This is an Open Source Software (OSS) project: PythonRobotics, which is a Python code collection of robotics algorithms.
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These codes are developed under `MIT license`_ and on `GitHub`_.
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.. _GitHub: https://github.com/AtsushiSakai/PythonRobotics
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.. _`MIT license`: https://github.com/AtsushiSakai/PythonRobotics/blob/master/LICENSE
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This project has three main philosophies below:
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Philosophy 1. Easy to understand each algorithm's basic idea.
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@@ -60,35 +63,32 @@ For example, Kalman filters and particle filter for localization,
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grid mapping for mapping,
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dynamic programming based approaches and sampling based approaches for path planning,
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and optimal control based approach for path tracking.
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These algorithms are implemented in this project.
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These algorithms are implemented and explained in the textbook in this project.
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Philosophy 3. Minimum dependency.
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Each sample code is written in Python3 and only depends on some standard
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modules for readability and ease of use.
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Each sample code of PythonRobotics is written in Python3 and only depends on
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some standard modules for readability and ease to setup and use.
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.. _GitHub: https://github.com/AtsushiSakai/PythonRobotics
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.. _`MIT license`: https://github.com/AtsushiSakai/PythonRobotics/blob/master/LICENSE
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See this paper for more details:
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- PythonRobotics: a Python code collection of robotics algorithms: https://arxiv.org/abs/1808.10703
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.. _`Requirements`:
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Requirements
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============
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- `Python 3.12.x`_
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- `NumPy`_
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- `SciPy`_
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- `Matplotlib`_
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- `cvxpy`_
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PythonRobotics depends only on the following five libraries,
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including Python itself, to run each sample code.
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For development:
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- `Python 3.12.x`_ (for Python runtime)
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- `NumPy`_ (for matrix operation)
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- `SciPy`_ (for scientific operation)
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- `cvxpy`_ (for convex optimization)
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- `Matplotlib`_ (for visualization)
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If you only need to run the code, the five libraries mentioned above are sufficient.
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However, for code development or creating documentation for the textbook,
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the following additional libraries are required.
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- `pytest`_ (for unit tests)
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- `pytest-xdist`_ (for parallel unit tests)
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@@ -107,3 +107,18 @@ For development:
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.. _`Sphinx`: https://www.sphinx-doc.org/en/master/index.html
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.. _`ruff`: https://github.com/astral-sh/ruff
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For instructions on installing the above libraries, please refer to
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this section ":ref:`How to run sample codes`".
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Arxiv paper
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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We have published a paper on this project on Arxiv in 2018.
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See this paper for more details about this Project:
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- `PythonRobotics: a Python code collection of robotics algorithms`_ (`BibTeX`_)
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.. _`PythonRobotics: a Python code collection of robotics algorithms`: https://arxiv.org/abs/1808.10703
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.. _`BibTeX`: https://github.com/AtsushiSakai/PythonRoboticsPaper/blob/master/python_robotics.bib
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@@ -1,5 +1,7 @@
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How to use
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----------
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.. _`How to run sample codes`:
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How to run sample codes
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-------------------------
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1. Clone this repo and go into dir.
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