Progress for week 6 (2019)
From Robin
(Difference between revisions)
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* Start writing introduction chapter | * Start writing introduction chapter | ||
* Find a good way to finish the updated drone. | * Find a good way to finish the updated drone. | ||
| + | === Accounting === | ||
| + | * 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 | ||
| Line 11: | Line 17: | ||
* Lifetime learning in Revolve | * Lifetime learning in Revolve | ||
** Where to be implemented | ** Where to be implemented | ||
| + | === Acconting=== | ||
| + | * SurfSara/virtual machines are working and doing experiments | ||
| + | * Testing new fitness function, looks OK. Currently checking variables to the size-parameter. | ||
== Wonho Lee == | == Wonho Lee == | ||
| Line 19: | Line 28: | ||
* Reading | * Reading | ||
** more input on NN-based CPGs - capable of dynamic gait/locomotion transition? | ** more input on NN-based CPGs - capable of dynamic gait/locomotion transition? | ||
| + | |||
| + | === Accounting === | ||
| + | * Writing | ||
| + | ** Started on CPG - bullet points | ||
| + | ** Draft on table of contents | ||
| + | # Introduction | ||
| + | # Adaptive Behavior | ||
| + | ## CPG | ||
| + | # NeuroEvolution | ||
| + | ## ANN | ||
| + | ### CTRNN | ||
| + | ## 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 == | ||
| + | |||
| + | === Budget === | ||
| + | * Write implementation chapter | ||
| + | |||
| + | === Accounting === | ||
| + | * Wrote everything related to pose estimation | ||
Current revision as of 12:53, 8 February 2019
Contents |
Anders Rønningstad
Budget
- Start writing introduction chapter
- Find a good way to finish the updated drone.
Accounting
- 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
Budget
- 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
Acconting
- SurfSara/virtual machines are working and doing experiments
- Testing new fitness function, looks OK. Currently checking variables to the size-parameter.
Wonho Lee
Budget
- Writing
- Continue writing on NEAT
- Draft table of contents for essay
- Reading
- more input on NN-based CPGs - capable of dynamic gait/locomotion transition?
Accounting
- Writing
- Started on CPG - bullet points
- Draft on table of contents
# Introduction # Adaptive Behavior ## CPG # NeuroEvolution ## ANN ### CTRNN ## 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
Budget
- Write implementation chapter
Accounting
- Wrote everything related to pose estimation
