17/01/2018 12:50pm
A detailed look at the features and performance of #robotic #simulators, #V-REP, #Gazebo and #ARGoS. Which one do y… [LINK]
12/01/2018 1:19pm
A great summary of robotics and AI ethics by @alan_winfield on @Robohub I find the first EPSRC Principle rather hyp… [LINK]
11/01/2018 1:16pm
RT @alan_winfield: Our new @FrontRoboticsAI paper: Simulation-based Internal Models for Safer Robots [LINK]

[Search by tag: Java]

Coding for tomorrow: Why is good code important?

Date: 27/01/2017 :: 0 comments
Tags: web :: Objective-C :: Matlab :: Java :: C++ :: ActionScript

"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 only saves time on a project, it also helps you to invest your time in a way that is meaningful for your future work.

How Coding in Python Might Be Bad For You

Date: 10/04/2016 :: 15 comments
Tags: Java :: C++ :: ActionScript

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


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.

Creeper Version History

Date: 18/09/2013 :: 0 comments
Tags: Java

Creeper version history with the latest updates on Creeper 2.0

Understanding the Role of Recruitment in Robot Foraging

Date: 16/09/2013 :: 0 comments
Tags: swarm :: robotics :: Java :: AI

The ability of a simulated robotic swarm of individualists and a swarm of bee-like communicators to collect resources from various environments is compared.

Do you really need a supercomputer?

Date: 25/06/2013 :: 2 comments
Tags: Java :: C++

So you've decided to use a supercomputer to run your simulations, like Iridis at Southampton Uni. You can just schedule jobs and run them remotely, without having to run them one by one on your machine. Awesome. Well, not always.

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.

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.

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.

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V-REP, Gazebo or ARGoS? A robot simulators comparison
Let’s have a look at three commonly used open-source simulators for robotics: V-REP, Gazebo and ARGoS, to find out which one suits your project the best.
Designing Effective Roadmaps for Robotics Innovation
Automated factories, autonomous delivery drones, self-driving cars: these and similar technologies will soon touch every aspect of our lives. An engaging discussion about how these technologies are regulated and innovated took place at the IROS 2017 conference.
The Information-Cost-Reward framework for understanding robot swarm foraging
The Information-Cost-Reward (ICR) framework relates the way in which robots obtain and share information about where work needs to be done to the swarm’s ability to exploit that information in order to perform work efficiently in the context of a particular task and environment.
Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms
Behaviour-Data Relations Modeling Language (BDRML) explicitely represents behaviours and data that robots utilise, as well as relationships between them. This allows BDRML to express control algorithms where robots cooperate and share information with each other while interacting with the environment.
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 advantages and disadvantages of communication in swarms, doing similar experiments with real robots is already revealing interesting new things.