Progress for week 42 (2014)

From Robin

Revision as of 08:54, 23 October 2014 by Elmruud (Talk | contribs)
Jump to: navigation, search

Contents

Student template (copy this for your entry)

Budget

  • Todo 1
  • Todo 2

Accounting

  • Done 1
  • Done 2

Snorre

Budget

  • Finish reading paper about the NSGA-II algorithm
  • Experiment with Webots, (make objects etc.)
  • Make a decision about algorithm
  • Make a decision between walking on uneven terrain, crawling, reality gap

Accounting

  • Read the NSGA-II paper
  • Made a test set up in Webots that works with the robot's SDK
  • Discovered abilities to make uneven terrain, measure walking distance etc. in Webots

Stian

Budget

  • Finish initial test framework.
  • Use framework for parameter testing on the libelas algorithm to get a better understanding of its performance.

Accounting

  • Initial parameter test framework finished.
  • Ran a few GA powered tests on the parameters of the libelas algorithm.
  • Experimented with cvkit which allows viewing the original image in 3D by using the computed depth results. Useful for subjective quality evaluation.
  • Started writing new test and evaluation code so as to do all the steps in a single program rather than having to communicate to the premade programs through temporary files and IPC memory.

Rune

Budget

  • Finish A*
  • Improve usage of A*, navigation
  • Multiple agents

Accounting

Else-Line

Budget

  • Continue experimenting with the simulator
  • Implement a simple local search (random walk?)

Accounting

  • Finished LearningScenario class, enabling local search in the evaluation (baldwinian)
  • Implemented random walk
  • Ran a few tests on baldwinian learning scenario on control only (simulated annealing and one plus lambda), and a few without learning for comparison (example genes on evolved robot)

Eivind

Budget

  • Order motor+gear
  • Test ROS (Robotic Operating System)
  • Start planing/building of game area
  • Start writing communication protocol (?)


André

Budget

  • Start building the game-boardR
  • Look at the use of kinect vs omnidirectional cameras
  • Look at omnidirectional cameras for triangulation
  • Look at some imagerecognition, for recogneizing the beacons

Accounting

  • Made a shopping list for the game-board
  • Used matlab to find elemnts in a picture
    • Figured out that matlab is to slow for realtime image processing
Personal tools
Front page