[Tweets]

15/11/2019 6:01am
RT @AandKrobotics: Beyond buzzwords. Our Senior Developer, @l_pitonakova will be talking robots, #AI and #machinelearning and real-world ap…
26/09/2019 7:14am
Day one at #ScirocChallenge: social #robots and humans meet in a shopping mall [LINK]

[Neural networks]

Ultrastable Neuroendocrine Robot Controller

Neural networks Java AI Simulation models Attributes of ultrastability as an adaption mechanism in a hormone-modulated neural robot...

Neural Networks and the Evolution of Cooperation

Neural networks Java AI Simulation models The paper investigates artificial evolution of cooperation in the Iterated Prisoner's Dilemma using...

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.