Progress for week 42 (2018)

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Revisjon per 18. okt 2018 kl. 23:06 av Davidko (Diskusjon | bidrag)
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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.
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