ADD: wiki link to main readme

README.md

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     <i><small>Augmented interface for woodworking powered by the TSlam's navigation system for subtractive fabrication. After the object is mapped, you can move it, cut it, or drill it and the camera will still be able to self-localize. </small></i>
 </p>
 
-🪵🌲 `TSlam` is developed at the [**Laboratory for Timber Construction**](https://www.epfl.ch/labs/ibois/) (director: Prof.Yves Weinand), at [**EPFL**](https://www.epfl.ch/en/), Lausanne, Switzerland. The project is part of the [**Augmented Carpentry Research**](https://www.epfl.ch/labs/ibois/augmented-carpentry/).
+🌲 `TSlam` is developed at the [**Laboratory for Timber Construction**](https://www.epfl.ch/labs/ibois/) (director: Prof.Yves Weinand), at [**EPFL**](https://www.epfl.ch/en/), Lausanne, Switzerland. The project is part of the [**Augmented Carpentry Research**](https://www.epfl.ch/labs/ibois/augmented-carpentry/).
 
-🪚🔨 `TSlam` is an open-source **object-centered**, tag-based visual **navigation software for monocular RGB cameras** specifically developed in C++ and for UNIX systems to support a robust and accurate augmented reality pipeline for close-range, noisy, and cluttered fabrication sequences involving **wood-working operations** such as cutting, drilling, sawing and screwing with multiple tools and end-effectors.
+🪚 `TSlam` is an open-source **object-centered**, tag-based visual **navigation software for monocular RGB cameras** specifically developed in C++ and for UNIX systems to support a robust and accurate augmented reality pipeline for close-range, noisy, and cluttered fabrication sequences involving **wood-working operations** such as cutting, drilling, sawing and screwing with multiple tools and end-effectors.
 
 🖧 `TSlam` leverages and combines multiple open-source projects ([UcoSLAM](http://www.uco.es/investiga/grupos/ava/node/62), [STag](https://github.com/bbenligiray/stag), [CGAL](https://www.cgal.org/)) to obtain a functional pipeline that can map, 3D reconstruct, and finally provide a robust camera pose stream at fabrication time to overlay an execution model with its digital twin model.
 
 🔖 `TSlam` was under development and testing for more than a year. For more details about the development go in the [Dev Log](./dev_log)
 
 ↳ `TSlam` can be imported as a C++ API in your project or used as an executable.
 
+🚀 For a quick and hands-on start check out our [Wiki](https://github.com/ibois-epfl/TSlam/wiki).
+
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 ## Benchmark