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19/09/2017 5:31pm
Next week's @IROS2017 in #Vancouver looks fantastic. Yet again, I find that I'd need to split my consciousness three ways to see all I want
19/09/2017 5:24pm
RT @SwarmDynamics: Generic, scalable and decentralized fault detection for robot swarms [LINK] #PLOSONE #robotics #swar
15/09/2017 1:05pm
Essays by Rodney Brooks on the future of #robotics and #AI @sabinehauert via @Robohub [LINK]
11/09/2017 10:10pm
RT @alan_winfield: More powerful #AI costs more #energy. See: Estimating the energy cost of evolution [LINK] (2/2)
11/09/2017 10:03pm
RT @ilpincy: Bacteria Use Brainlike Bursts of Electricity to Communicate [LINK] via @QuantaMagazine

[Search by tag: A-life]

Task Allocation in Foraging Robot Swarms

Date: 29/04/2016 :: 0 comments
Tags: swarm :: robotics :: C++ :: A-Life


Bee-inspired self-regulation algorithms for robot swarms that deliver items into a single drop-off location and need to prevent congestion.

Are Robot Swarms Like Brains?

Date: 19/02/2016 :: 0 comments
Tags: swarm :: robotics :: neural networks :: mind :: A-Life


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

Date: 05/10/2015 :: 0 comments
Tags: robotics :: neural networks :: AI :: A-Life


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.

Have I Met an Android?

Date: 17/09/2015 :: 0 comments
Tags: robotics :: games :: AI :: A-Life


I was browsing game discussion forums on Steam and came across a post that did not make much sense. Have I talked to an AI?

The Hive Mind in Southampton

Date: 16/03/2015 :: 0 comments
Tags: swarm :: robotics :: games :: AI :: A-Life


I had the privilege to present The Hive Mind, my new sci-fi puzzle game about insect-inspired construction with robots, at the University of Southampton Science and Engineering day last weekend. A lot of people came to play it and it was great to watch how they interacted with it - kids were often better at the game than their parents!

How will artificial life impact the future?

Date: 26/10/2014 :: 0 comments
Tags: swarm :: robotics :: neural networks :: AI :: A-Life


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.

Impressions from ALIFE 14 New York

Date: 12/08/2014 :: 0 comments
Tags: swarm :: robotics :: AI :: A-Life


This summer, I attended the Artificial Life conference in New York. There were some interesting and not-so-interesting talks, but generally I am very glad I went. I had a chance to meet some great people and more importantly, to get much needed feedback on my own research. I also got offered to try out real robots in my research.

Ilidian the robotic dinosaur

Date: 28/01/2014 :: 0 comments
Tags: robotics :: AI :: A-Life


Meet Ilidian, my robotic dinosaur pet. He is a male Pleo rb, in my opinion one of the most advanced home robotic pets at the moment. He has a lot of touch sensors so he can feel being stroked or hit on various parts of his body, temperature sensors that allow him to feel dizzy when hot or shiver when cold and much more stuff that make him quite life-like.

Creeper

Date: 18/09/2013 :: 0 comments
Tags: swarm :: Java :: games :: AI :: A-Life


Creeper is a Java MVC framework for those who want to create multi-agent simulations (or games) and need something to build on. Creeper takes care of effective updating and rendering. You only need to specify the world objects and how they should look like.

Impressions from ECAL 2013

Date: 17/09/2013 :: 2 comments
Tags: swarm :: robotics :: A-Life


I recently returned from Taormina, Sicily where I attended the ECAL 2013 conference. It was so amazing that I felt I had to share my experience from it on this blog.

Accepted to the ECAL 2013 A-Life conference

Date: 22/06/2013 :: 1 comment
Tags: swarm :: robotics :: A-Life


The paper 'Controling Ant-Based Construction' that I recently wrote in cooperation with my supervisor Seth Bullock has now been accepted to the ECAL 2013 conference. The work is about a simulation of 2D ant nest building, where different nest shapes are made...

Creeper :: Getting Started

Date: 27/05/2013 :: 0 comments
Tags: games :: AI :: A-Life :: Java :: swarm


This tutorial helps you to create your own Java project with Creeper. As an alternative solution, you could simply download Creeper with the Demo project and rewrite class and package names within net.lenkaspace.creeper.demo to suit your own needs.

Controlling Ant-Based Construction

Date: 02/04/2013 :: 0 comments
Tags: swarm :: robotics :: Java :: A-Life


Stigmergy allows insect colonies to collectively build structures that no single individual is fully aware of. Since relatively minimal sensory and reasoning capabilities are required of the agents, such building activity could be utilised by robotic swarms if we could learn how to control the shape of the final structures.

Foraging Strategies in Nature and Their Application to Swarm Robotics

Date: 22/03/2013 :: 0 comments
Tags: A-Life :: AI :: robotics :: swarm


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.

Boid Game-Playing through Randomised Movement

Date: 22/10/2012 :: 0 comments
Tags: A-Life :: AI :: Java :: swarm


The original boid flocking algorithm is extended by adding randomised movement to the flock members. This approach is a light-weight alternative to other ‘follow the leader’ techniques implemented in order to create a ‘game-playing’ behaviour during which a flock changes its movement direction as observed in real birds.

My First Journal Publication

Date: 06/09/2012 :: 0 comments
Tags: swarm :: robotics :: neural networks :: A-Life


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

Date: 09/05/2012 :: 0 comments
Tags: robotics :: neural networks :: Mindstorms :: A-Life


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

Date: 15/08/2011 :: 0 comments
Tags: robotics :: neural networks :: Java :: AI :: A-Life


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.

Adaptive Robot Controller

Date: 12/05/2011 :: 0 comments
Tags: robotics :: neural networks :: Java :: AI :: A-Life


A robot neural controller where obstacle-avoidance and random-walk neurons observe level of their irritation and randomly reconfigure their connections to motors when the irritation reaches a specified threshold is presented and tested.

Neural Networks and the Evolution of Cooperation

Date: 16/01/2011 :: 0 comments
Tags: Java :: AI :: A-Life :: neural networks


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.

[Blog]

Robot swarms in action

Watch e-puck robots collect resources and bring them back to base. While the previous simulation work helped us to learn a lot about the...

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How to compile code for e-puck robots on your computer

Compiling code natively on e-puck robots or cross-compiling on your computer can be very tedious. Luckily, there is a third option:...

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Coding for tomorrow: Why is good code important?

"Why should I care about how my code is written, as long as it works?" I will argue here that well-structured and well-written code not...

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How Coding in Python Might Be Bad For You

7 reasons why coding in Python is like writing a really bad essay and getting away with it

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