Progress for week 42 (2018)
Fra Robin
(Forskjeller mellom versjoner)
(→Budget) |
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| Linje 4: | Linje 4: | ||
* Develop convolutional neural networks and train | * Develop convolutional neural networks and train | ||
* Compare dense and convolutional, and write about it | * 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. | ||
| + | * Finish introduction of the essay. | ||
| + | * Finish the robotic assembly section of essay. | ||
Versjonen fra 15. okt 2018 kl. 19:35
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.
- Finish introduction of the essay.
- Finish the robotic assembly section of essay.
