[Tweets]

17/03/2023 3:49am
I had the privilege of working with great clients in 2022 and I completed a number of exciting projects. In 2023, I… [LINK]
07/02/2023 3:24am
Starting 2023 with a sharp focus on computational modeling and interactive applications. My Software Development pa… [LINK]
09/08/2022 2:00am
A digital twin for #autonomous #uavs - using the tool we developed, we can simulate a UAV #swarm and even control… [LINK]
11/05/2022 12:24am
Proud to showcase our new #digitaltwin application that enables us to put simulated and real-life #autonomous… [LINK]
17/03/2022 4:11am
RT @sabinehauert: Nice to present results of the @evo_nano project along with the whole team. Learn more about the EVONANO platform for the…

[Search by tag: Bash script]

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

 Simulation models C++ Bash script Date: 12/09/2018 :: 0 comments

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

Fast Data Analysis Using C++ and Python

 Python Data science C++ Bash script Date: 12/09/2018 :: 4 comments

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

A Highly Customisable Multi-Robot Foraging Simulation

 Simulation models C++ Bash script Date: 20/02/2017 :: 0 comments

An ARGoS simulation of robot swarm foraging using various robot controllers and environments. This code has been used in various papers (see References) and thus allows to run different types of simulations.

Motosu: The Content Management System

 Web Bash script Date: 14/02/2017 :: 0 comments

Motosu is a Content Management and a Web Hosting System that takes on Word Press by giving users easy-to-understand interface and content creation.

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.