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docs: add link to masther thesis for mc_nn_control (#26279)

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Sindre Meyer Hegre
2026-01-29 13:10:21 +11:00
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docs/en/neural_networks/mc_neural_network_control.md
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@@ -22,7 +22,11 @@ If not, there are other possible NN frameworks, such as [Eigen](https://eigen.tu
This document explains how you can include the module in your PX4 build, and provides a broad overview of how it works.
The other documents in the section provide more information about the integration, allowing you to replace the NN with a version trained on different data, or even to replace the TLFM library altogether.
If you are looking for more resources to learn about the module, a website has been created with links to a youtube video and a workshop paper. A full master's thesis will be added later. [A Neural Network Mode for PX4 on Embedded Flight Controllers](https://ntnu-arl.github.io/px4-nns/).
::: tip
For more information, see the Masters thesis from which this module was created: [Deep Reinforcement Learning for Embedded Control Policies for Aerial Vehicles](https://nva.sikt.no/registration/019b26689144-efeebae8-84d6-4413-ad7f-9aceb4ff7374).
In addition, the (Norwegian) website [A Neural Network Mode for PX4 on Embedded Flight Controllers](https://ntnu-arl.github.io/px4-nns/) has a youtube video and a workshop paper .
:::
## Neural Network PX4 Firmware