Progress for week 42 (2018)
Fra Robin
(Forskjeller mellom versjoner)
(→Accounting) |
(→Accounting) |
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| Linje 19: | Linje 19: | ||
* Imported a part object into ROS/Gazebo from CAD file. | * Imported a part object into ROS/Gazebo from CAD file. | ||
** Found out you can calculate inertia tensors with MeshLab | ** Found out you can calculate inertia tensors with MeshLab | ||
| + | * Created CameraObjectLocalizer class, but have not compiled with d2co yet. | ||
Versjonen fra 18. okt 2018 kl. 23:06
Innhold |
Jonas S. Waaler
Budget
- Continue training dense neural networks of different sizes
- Develop convolutional neural networks and train
- Compare dense and convolutional, and write about it
David Kolden
Budget
- Implement D2CO algorithm in a ROS node.
- Create Gazebo simulation model of a camera.
- Find a way to create a Gazebo model of a part that should be registered by the algorithm.
- Find a way to calculate inertia from a CAD file.
- Finish introduction of the essay.
- Finish the robotic assembly section of essay.
Accounting
- Personal page created.
- Camera model implemented in ROS/Gazebo
- Imported a part object into ROS/Gazebo from CAD file.
- Found out you can calculate inertia tensors with MeshLab
- Created CameraObjectLocalizer class, but have not compiled with d2co yet.
