[Tweets]

25/02/2021 6:06pm
RT @anderslyhne: I’m happy to announce that we have an open position @SDUBiorobotics for an ambitious assistant professor in bioinspired ro…
24/02/2021 2:12am
RT @sabinehauert: New @innovateuk Future Flight project to explore aerial swarms for fire mitigation and aid delivery powered by digital tw…
15/02/2021 11:27pm
I have recently started working as a #consultant for a great project led by @Windracers and @sabinehauert. We are a… [LINK]

[Blog :: Jan - Dec 2019]

pyCreeper

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.