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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. 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. 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 ## Neural Network PX4 Firmware