Progress for week 44 (2014)
From Robin
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* Implemented Lamarckian learning | * Implemented Lamarckian learning | ||
* Done some testing | * Done some testing | ||
+ | * Fixed fitness issue in learning scenario | ||
+ | * Fixed licence issue with Visual Studio on laptop | ||
== Stian == | == Stian == | ||
Line 52: | Line 54: | ||
* Implemented a simple GA and experimented a bit with differen pop. sizes and no. of iterations | * Implemented a simple GA and experimented a bit with differen pop. sizes and no. of iterations | ||
* Tested out the robot on different terrains, made a suitable one for the task (also using the GA) | * Tested out the robot on different terrains, made a suitable one for the task (also using the GA) | ||
- | * Started planning | + | * Started planning the implementation of the NSGA-II algorithm |
== André == | == André == | ||
=== Budget === | === Budget === | ||
- | * | + | * Install openCV |
- | * | + | * Test out openCV to find objects in the picture, and locate them |
- | * | + | * Start building the game-board |
- | ** | + | * Find info about omnidirectional camera's (the cost etc) |
- | ** | + | |
+ | === Accounting === | ||
+ | * Installed openCV | ||
+ | * Used "Canny-filter" in CV for edgedetection | ||
+ | ** Located edges in the picture (need to locate objects by template) | ||
+ | * Started building the game-board | ||
+ | ** Cut the all plates, and edges of the board, need only paint, and assemble it. | ||
+ | * Sent mail to IT-Robotics for information about the omnidirectional camera | ||
+ | |||
== Rune == | == Rune == |
Current revision as of 10:36, 5 November 2014
Contents |
Student template (copy this for your entry)
Budget
- Todo 1
- Todo 2
Accounting
- Done 1
- Done 2
Eivind
Budget
- Write communication protocol
- Create the game area
- Improve the testing program
Accounting
- Implemented threaded cross-program communication protocol based on Zeromq.
- Aquired and prepared all the materials for the game area.
- General program improvements, progress and research
Else-Line
Budget
- Implement Lamarckian learning
- Continue testing parameters
- Look into good statistical methods for comparing results
Accounting
- Implemented Lamarckian learning
- Done some testing
- Fixed fitness issue in learning scenario
- Fixed licence issue with Visual Studio on laptop
Stian
Budget
- Find a workaround for crashes caused by bugs in the tested algorithms
- Try to find a safer range of parameters or run the algorithms in a seperate process.
- Start work on including the rSGM algorithm in the framework.
Accounting
- Added more constraints to avoid some troublesome parameter combinations which lead to occasional crashes.
- Fixed a bug in the ELAS algorithm.
- Implemented threaded evaluation using Intel Threading Building Blocks.
- Looked into further algorithms, but ran into library dependency problems.
- Read an NSGA-II paper.
Snorre
Budget
- Finish implementing simple GA
- Experiment with different population sizes and number of iterations in the GA
- Experiment and observe behaviour of the robot with the GA using an uneven terrain
- Make a plan for how to implement the NSGA-II algorithm
Accounting
- Implemented a simple GA and experimented a bit with differen pop. sizes and no. of iterations
- Tested out the robot on different terrains, made a suitable one for the task (also using the GA)
- Started planning the implementation of the NSGA-II algorithm
André
Budget
- Install openCV
- Test out openCV to find objects in the picture, and locate them
- Start building the game-board
- Find info about omnidirectional camera's (the cost etc)
Accounting
- Installed openCV
- Used "Canny-filter" in CV for edgedetection
- Located edges in the picture (need to locate objects by template)
- Started building the game-board
- Cut the all plates, and edges of the board, need only paint, and assemble it.
- Sent mail to IT-Robotics for information about the omnidirectional camera
Rune
Budget
- Improve the pathfollower
- Extend with voronoi diagram
Accounting
- Improved the pathfollower!
- Switched to probabilistic road map, not yet finished.