Adaptive Robot Controller
A robot neural controller where obstacle-avoidance and random-walk neurons observe level of their irritation and randomly reconfigure their connections to motors when the irritation reaches a specified threshold is presented and tested.
Robot Flocking: Sensors and Control
This paper discusses various kinds of robot sensory input, approaches to motor control and ways they could be used for flocking. Focus is put on vision and Gibsonian optic flow that could be utilised by robots with advanced behaviour.
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.
{Please enable JavaScript in order to post comments}