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[Essays]

Foraging Strategies in Nature and Their Application to Swarm Robotics

Multi-agent systems AI Date: 22/03/2013

While foraging is a task often experimented with in swarm robotics, it is often the case that foraging strategies inspired by nature are chosen without careful consideration. Foraging strategies including solitary foraging, behavioural matching, stigmergy, signaling to guide others and coordinated and cooperative hunting are identified and their implementation costs in robots, as well as their suitability for different scenarios is discussed.

Does Communication Make a Difference?

Multi-agent systems Date: 19/04/2010

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.

The Centralised Mindset and Complexity Science

Multi-agent systems Philosophy Date: 05/01/2013

Humans tend to explain decentralised phenomena as being caused by a single entity. This way of thinking is often referred to as 'the centralised mindset'. Several authors propose that using programming environments where creation of decentralised agent-based systems is easy...

Robot Flocking: Sensors and Control

Multi-agent systems AI Date: 04/01/2010

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.

Will is Conscious, but not Free

Philosophy Date: 04/05/2011

The effect of unconscious stimuli on motor actions and emotions is discussed. The nature of human will is examined through review of experiments on correlates of brain activity during volitional actions.

Inner States for Game Agent Systems

Games C++ AI Date: 02/06/2009

The theoretical part of the project focuses on currently used techniques for obstacle avoidance, task-oriented behaviour and fuzzy logic in the field of games AI. A number of approaches are discussed and evaluated.

Procedural Modelling

Games Date: 23/05/2008

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.

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.