Progress for week 42 (2018)
From Robin
(Difference between revisions)
(→Accounting) |
(→Accounting) |
||
Line 18: | Line 18: | ||
* Camera model implemented in ROS/Gazebo | * Camera model implemented in ROS/Gazebo | ||
* 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 |
Revision as of 00:27, 18 October 2018
Contents |
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