18/03/2019 8:22pm
RT @thomasschmickl: Happy to announce an upcoming talk for the next week in Graz: „Will robots save nature?“ [LINK]
09/03/2019 8:49pm
New #heroesofthestorm mount: D.E.R.P.A. Brilliant! [LINK] [LINK]
09/03/2019 8:46pm
RT @AandKrobotics: Today and every day we celebrate the powerful and passionate women here at A&K Robotics! 💃🏻💁🏻‍♀️🤖 @VentureLabs_ca https:…
06/03/2019 1:19pm
A company I work for is looking for full stack #developers, on site or remote work. If you know #php #javascript… [LINK]

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The main purpose of pyCreeper is to wrap tens of lines of python code, required to produce graphs that look good for a publication, into functions. It takes away your need to understand various quirks of matplotlib and gives you back ready-to-use and well-documented code.

Novelty detection with robots using the Grow-When-Required Neural Network

The Grow-When-Required Neural Network implementation in simulated robot experiments using the ARGoS robot simulator.

Fast Data Analysis Using C++ and Python

C++ code that processes data and makes it available to Python, significantly improving the execution speed.

Designing Robot Swarms

This project looks at the challenges involved in modeling, understanding and designing of multi-robot systems.

Robustness in Foraging E-puck Swarms Through Recruitment

Swarms of five e-puck robots are used in a semi-virtual environment, facilitated by the VICON positioning system. Recruitment can make swarms more robust to noise in robot global positioning data.