Progress for week 49 (2018)

From Robin

Revision as of 23:49, 29 November 2018 (view source) Davidko (Talk | contribs) (Ny side: == David Kolden == === Budget === * Get an overview of already implemented solutions. * Implement FDCM. * Write background of FDCM. * Play around.) ← Older edit		Current revision as of 11:34, 7 December 2018 (view source) Anderon (Talk | contribs)
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	* Write background of FDCM.		* Write background of FDCM.
	* Play around.		* 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.

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Current revision as of 11:34, 7 December 2018

Contents 1 David Kolden 1.1 Budget 1.2 Accounting 2 Malin Aandahl 2.1 Budget 2.2 Accounting 3 Jonas S. Waaler 3.1 Budget 4 Anders Rønningstad 4.1 Budget 4.2 Accounting

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.