Computer Science on Flo's Thoughts

Follow-Up on Quadcopters

Fri, 16 Apr 2021 14:22:39 +0200

Though this is almost five years old, it’s still pretty impressive. I you’ve liked “The Astounding Athletic Power of Quadcopters” you might find this one interesting as well.

The Astounding Athletic Power of Quadcopters

Thu, 02 Jan 2014 10:00:00 +0200

This sure is amazing. Computer Science FTW!

Nuance Talking About the History of Speaking Systems

Wed, 18 Sep 2013 21:38:34 +0200

via iPhoneBlog.de:

This makes me want to continue studying so badly. Media Synthesis and Media Analysis were definitely two of my favorite classes.

However, watching TBBT S05E14 did set quite different expectations regarding Siri.

Building a Basic LEGO Robot

Sat, 23 Jun 2012 20:08:19 +0200

When the current semester began, we had the opportunity to choose a few of our courses ourselves. One of those was Self-Localization held by Prof. Dr. Jörg Roth. When I read the description it got me pretty excited about the topic. Not only because we would be using LEGO MINDSTORMS to create a simple robot to apply the newly gained knowledge about how to find out where an object is located. When we’re talking about location here, it means an indoor location which implies that GPS or Galileo are not that suitable. So I was pretty happy I was chosen among about 14 other students to attend this course.

Ant Colony Optimization TSP – OpenProcessing

Sat, 26 Jun 2010 19:33:38 +0200

We’ve been working on our Swarm Intelligence project lately and found this website which illustrates the travelling salesman problem pretty good, I think. Just check it out and move the little city objects around. That’s very interesting.

ACO vs. PSO – Basics

Mon, 24 May 2010 19:51:26 +0200

Since I’ve been looking for some resources on our Swarm Intelligence project I found this description of PSO and ACO that made me understand it quite a bit better:

ACO is mostly used for discrete optimization problems. PSO is mostly used for continuous optimization problems. Reason behind this is: ACO is driven by two parameters: heuristic value and pheromone value. Mostly these values are derived from parameters having discrete values. PSO is driven by neighbor’s velocity. Velocity is continuous parameter. As one of the parameters used for deriving velocity is time and time iscontinuous.