Progress for week 11 (2015)
From Robin
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=== Accounting === | === Accounting === | ||
+ | * Started testing on changing environments | ||
+ | * Ran tests on static environment with obstacles, not exactly a great success | ||
+ | * Started testing on real robot, larger reality gap on lamarckian | ||
+ | * 30 pages | ||
== Rune == | == Rune == |
Revision as of 09:49, 17 March 2015
Contents |
André
Budget
- Finish writing the code of the tower, and figure out whats wrong at the moment
- Look at the protocol for the positioning system (zeroMQ)
- Make the griptower
- Write 3 pages
Accounting
- Fixed the tower code.
- Installed ZeroMQ
- Implemented the EKF in c++
- Tested the IR distance sensor
- The data sheet is totally wrong
- "Learned" tikz
Stian
Budget
- Write another 10 pages.
- Continue nsga2 objective type testing.
Accounting
- Wrote 10 pages.
- Created a parallel version of the ELAS algorithm for a possible later real-time implementation.
- More objective type testing.
Else-Line
Budget
- Finish implementing changing environment in simulation and start testing
- Start testing on real robot
- 35 pages
Accounting
- Started testing on changing environments
- Ran tests on static environment with obstacles, not exactly a great success
- Started testing on real robot, larger reality gap on lamarckian
- 30 pages
Rune
Budget
- Test
- Create more scenarios
- Adjust/improve learning component (parameters)
- Write (30 pages total)
Accounting
- Updated the scenario generator and created two scenarios
- Written 5~ pages (25 pages total)
- Done a bit of testing
Snorre
Budget
- Write more about project and implementation
- Do experiments and tests in the Motion Capture lab
- Then make the new transferability function
Accounting
- Wrote about project, implementation and results
- Did experiments in the MoCap lab
- Started planning new transf. func.
Eivind
Budget
- Model remainding parts and get them printed
- Test robot with new AI
- Help improve the position system
Accounting
Bendik
Budget
- Research and implement Q-learning
- Modify GOAP framework with feature vectors for Q-learning
- Test "QOAP"
- Implement motor controller communication in java