[Research]

I am a Research Associate in Applied Mathematics and Computer Science at the University of Bristol. My research area is unsupervised learning with self-organised neural networks. Previously, I was a Post-doctoral Research Fellow at the University of Southampton and worked at the Bristol Robotics Laboratory in the area of swarm robotics. My wider research interests include the emergence of intelligence in embodied systems and human-robot interaction.

Selected research projects

Designing Robot Swarms

 Multi-agent systems This project looks at the challenges involved in modeling, understanding and designing of...

Linee the line follower

 Robots Linee is a line following robot that instead of being programmed, uses a fully analogue controller...

Robustness in Foraging E-puck Swarms Through Recruitment

 Robots Multi-agent systems Swarms of five e-puck robots are used in a semi-virtual environment, facilitated by the VICON...

Ultrastable Neuroendocrine Robot Controller

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

The Information-Cost-Reward framework for understanding robot swarm foraging

 Multi-agent systems AI The Information-Cost-Reward (ICR) framework relates the way in which robots obtain and share...

Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms

 Multi-agent systems AI Behaviour-Data Relations Modeling Language (BDRML) explicitely represents behaviours and data that...

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.