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WIP: trying new layout x2
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9and3 committed Nov 9, 2023
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<img src="assets/img/une_image.png" width="80%">
<img src="assets/img/une_image.png" width="500">
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<i>Augmented interface for woodworking powered by the TSlam's navigation system for subtractive fabrication.</i>
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🪵🌲 `TSlam` is developed at the [**Laboratory for Timber Construction**](https://www.epfl.ch/labs/ibois/)(director: Prof.Yves Weinand), at EPFL, 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.

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<img src="assets/img/objectrefissue.png" width="300">
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<i>After the object is mapped, you can move it, cut it, or drill it and the camera will still be able to self-localize.</i>
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🖧 `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.

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