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[Starting my PhD Next Week]

Multi-agent systems Robots Added on 16/09/2012

I have finally finished making my studio in Southmapton at least decently homey as I am starting my PhD programme on Tuesday. I met some of my classmates yesterday (Saturday) during a barbeque and I am very excited about our future discussions and beer drinking.

The first two semesters of my PhD will be attending classes that I have to pass in order to move forward, ending the school year with a summer project. The following three years will be the actual PhD project that I can see at the moment as involving biologically-inspired methods for task and energy distribution in autonomous robot colonies.

I will be staying in Southampton at least for the first two semesters but I am glad that I decided to keep letting my flat in Brighton as well, I just love the city too much to move away yet. So even though I will be spending most of the week in Southampton studying and (hopefully) doing some martial arts, I will always look forward to weekends when I will return to Brighton and have a walk on the beach.



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My First Journal Publication

After working on it for quite a long time, my paper titled Ultrastable Neuroendocrine Robot Controller was finally accepted for publication in Adaptive Behaviour.

To Vote or Not To Vote: A Swarm Approach

I’ve never voted. I am not sure why, I perhaps don't care enough. People always tell me: 'Imagine everybody would decide not to vote! You have to vote because every small opinion counts towards the final results'. I've never agreed with it, although I couldn't express why...

Ultrastable Neuroendocrine Robot Controller

Attributes of ultrastability as an adaption mechanism in a hormone-modulated neural robot controller were investigated in a simulation. Action-selection based on hormone-driven utilities of memory items was used to alternate between mineral gathering and recharging.

Does Communication Make a Difference?

This paper compares different animal groups from eusocial insect colonies to human society and discusses their mechanics and behaviour as agent systems. The main focus is on interaction between the agents and on how properties of a system like effectiveness or predictability are affected by these interactions.

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.