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[Procedural Modelling]

Games Date: May 2008

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The paper provides an insight into procedural modelling techniques and uses. Procedural modelling is an alternative approach to modelling when high realism and fast real-time rendering of complex objects is desired.

The paper first introduces common procedural modelling techniques including creation of fractals and L-systems. Discussion of various approaches to how the models can be created and how they are used by a number of games and software follows.



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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.