Progress for week 42 (2018)

Fra Robin

Revisjon per 19. okt 2018 kl. 07:08 av Anderon (Diskusjon | bidrag)
Gå til: navigasjon, søk


Jonas S. Waaler


  • Continue training dense neural networks of different sizes
  • Develop convolutional neural networks and train
  • Compare dense and convolutional, and write about it

David Kolden


  • 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.


  • 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


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


  • 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.
Personlige verktøy