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[Search by tag: neural networks]

Are Robot Swarms Like Brains?

Multi-agent systems Robots Neural networks Philosophy Date: 19/02/2016 :: 0 comments

I have recently explored a way of measuring how information flows within a robot swarm. I think that there is something intriguing behind this idea - a swarm's resemblance to the human brain.

Lots of Robots at IROS in Germany

Robots Neural networks AI Date: 05/10/2015 :: 2 comments

I have just returned from the IROS conference that took place in Hamburg, Germany. The conference name stands for Intelligent Robots and Systems and it was a huge event full of talks and exhibitions about robotics. While the atmosphere was very professional, the spirit of Oktoberfest, a traditional German celebration of beer and German culture that happens between September and October, managed to blend in very well.

How will artificial life impact the future?

Multi-agent systems Robots Neural networks AI Date: 26/10/2014 :: 0 comments

In 2013, I was a part of the TRUCE workshop at the Alife conference. The workshop brought together scientists and creative writers in order to create a cool book full of stories about A-life (artificial life) and artificial intelligence and about how it will impact our society in the future. As I am very interested in swarm robotics, sci-fi games and movies and generally how the future will look like when robots run around and are part of our everyday lives, I jumped at the opportunity to cooperate on the project.

My First Journal Publication

Multi-agent systems Robots Neural networks Date: 06/09/2012 :: 0 comments

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

Ultrastable Neuroendocrine Robot is born

Robots Neural networks Lego Mindstorms Date: 09/05/2012 :: 0 comments

I have finally put a beginning of an artificial brain to my Ultrastable Neuroendocrine Robot - UNER... my lego robot can now measure inputs from its 3 front proximity sensors and individual cells in its brain get activated when it sees something

Ultrastable Neuroendocrine Robot Controller

Neural networks Java AI Simulation models Date: 15/08/2011 :: 0 comments

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.

Neural Networks and the Evolution of Cooperation

Neural networks Java AI Simulation models Date: 16/01/2011 :: 0 comments

The paper investigates artificial evolution of cooperation in the Iterated Prisoner's Dilemma using a number of player implementations. Existing strategy encoding and neural network models are compared with action-discriminating neural network created during writing of this paper.

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.