Progress for week 49 (2018)
From Robin
Contents |
David Kolden
Budget
- Get an overview of already implemented solutions.
- Implement FDCM.
- Write background of FDCM.
- Play around.
Accounting
- FDCM with D2CO now finds pose of an object.
- Created simulation model of gripper.
- Created simulation model of wrist force/torque sensor, but will not simulate its functionality because this is poorly supported by ROS at the moment.
- Wrote some background
- General system clean up
Malin Aandahl
Budget
- Implement new fitness function.
- Find out where the position to the robot is calculated(and change to be the back instead of the front of the robot)
- Finish tutorials about Docker.
- If time set up Docker or implement function to find position.
Accounting
- Worked more with Docker. Currently working on finding environmental variables and putting them in the Dockerfile.
- Made new fitness function, but something might be wrong.
- (Reading to my exam)
Jonas S. Waaler
Budget
- Finish implementing the new baselines to the experiments
- Tune data to fit the classification task (experiment 2)
- Construct algorithms/architectures to solve the classification task
Anders Rønningstad
Budget
- General code cleanup (Structure change)
- Find and implement better value functions for the optimization methods.
- Start looking at swarm optimization
Accounting
- Cleaned up in code for better overview, and making it easier to simulate.
- Created new value function wich I will use to evaluate the methods.
- Updated the objective funciton in the mathematical optimization method