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adding IROS 2020 videos
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concepts/index.rst

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- 3D costmaps, which represent the space in 3D, but then also requires 3D planning and collision checking
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- Mesh maps, which are similar to gradient maps but with surface meshes at many angles
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- "Vector space", taking in sensor information and using machine learning to detect individual items and locations to track rather than buffering discrete points.
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Navigation2 Academic Overview
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*****************************
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.. raw:: html
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<h1 align="center">
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<div style="position: relative; padding-bottom: 0%; overflow: hidden; max-width: 100%; height: auto;">
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<iframe width="708" height="400" src="https://www.youtube.com/embed/QB7lOKp3ZDQ?autoplay=1&mute=1" frameborder="1" allowfullscreen></iframe>
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</div>
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</h1>

index.rst

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@@ -82,6 +82,15 @@ S. Macenski, F. Martín, R. White, J. Clavero.
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`The Marathon 2: A Navigation System <https://arxiv.org/abs/2003.00368/>`_.
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
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IROS 2020 talk on Navigation2 Marathon Experiments:
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.. raw:: html
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<h1 align="center">
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<div style="position: relative; padding-bottom: 0%; overflow: hidden; max-width: 100%; height: auto;">
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<iframe width="708" height="400" src="https://www.youtube.com/embed/QB7lOKp3ZDQ?autoplay=1&mute=1" frameborder="1" allowfullscreen></iframe>
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</div>
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</h1>
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.. code-block:: bash
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