# Progress for week 42 (2018)

### From Robin

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** 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. | * Created CameraObjectLocalizer class, but have not compiled with D2CO yet. | ||

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+ | == Anders Rønningstad == | ||

+ | === Budget === | ||

+ | * Read about and understand how to use mathematical optimization packages in python. | ||

+ | * Implement mathematical optimization in program. | ||

+ | ** Hopefully start to run tests. | ||

+ | |||

+ | === Accounting === | ||

+ | * Found out how to implement the optimization. | ||

+ | ** Ran some tests, with bad results. | ||

+ | * Tried to implement the optimization using bruteforce, but computation was to slow for it to be useful. | ||

+ | * Started to implement a self made method, which combines bruteforce and some assumptions. | ||

+ | ** Ran som tests using a simple version of the new method, with some better results. |

## Revision as of 07:08, 19 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

- Created CameraObjectLocalizer class, but have not compiled with D2CO yet.

## Anders Rønningstad

### Budget

- Read about and understand how to use mathematical optimization packages in python.
- Implement mathematical optimization in program.
- Hopefully start to run tests.

### Accounting

- Found out how to implement the optimization.
- Ran some tests, with bad results.

- Tried to implement the optimization using bruteforce, but computation was to slow for it to be useful.
- Started to implement a self made method, which combines bruteforce and some assumptions.
- Ran som tests using a simple version of the new method, with some better results.