Progress for week 6 (2019)

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Anders Rønningstad


  • Start writing introduction chapter
  • Find a good way to finish the updated drone.


  • Almost done implmenting the updated drone. Just need to fix a couple of bugs.
  • Started writing the introduction: (Points below are as good as done)
    • Brief intro to the area (and problem)
    • Brief state-of-the-art in the research field
    • Move on to the challenge - what you are planning to do to fix this / why you want to do this

Malin Aandahl


  • Do more experiment on testing different discount on sizes and compare
  • Decide how to deal with position
  • Lifetime learning in Revolve
    • Where to be implemented


  • SurfSara/virtual machines are working and doing experiments
  • Testing new fitness function, looks OK. Currently checking variables to the size-parameter.

Wonho Lee


  • Writing
    • Continue writing on NEAT
    • Draft table of contents for essay
  • Reading
    • more input on NN-based CPGs - capable of dynamic gait/locomotion transition?


  • Writing
    • Started on CPG - bullet points
    • Draft on table of contents
# Introduction
# Adaptive Behavior
## CPG
# NeuroEvolution
## ANN
## EA
### NEAT
### HyperNEAT
  • Reading
    • started on Neural bases of goal-directed locomotion in vertebrates—An overview - CPG analysis from neurology perspective too much field specific terms/concepts, may get some insights on evolving primitive CPG to complex ( lamprey to mammalian )
    • Central pattern generator and feedforward neural network-based self-adaptive gait control for a crab-like robot locomoting on complex terrain under two reflex mechanisms - system of diff.eq based cpgs with coupled NN to map the signal to joint angles

David Kolden


  • Write implementation chapter


  • Wrote everything related to pose estimation
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