[Tweets]

18/06/2018 5:18pm
RT @ChanelleLLee: Our paper ‘Negative Updating Combined with Opinion Pooling in the Best-of-n Problem in Swarm Robotics’ has been accepted…
18/06/2018 10:56am
RT @ilpincy: Our manuscript "Simulating Kilobots within ARGoS: Models and Experimental Validation" has been accepted as full paper at @ants
11/06/2018 5:20pm
RT @AndyRidgway1: They've been a fair few months in the making but we - that's @SciCommsUWE - have just launched a new range of #scicomm tr…
08/06/2018 11:19am
MIT scientists created a “psychopath” AI by feeding it violent content from Reddit. A very interesting experiment.… [LINK]

[Foraging Strategies Application to Robotics]

Multi-agent systems AI A-Life Project: Designing Robot Swarms
Date: Mar 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.

Proposed foraging strategies in different tasks

This paper reviews how food acquisition is solved by various biological species including ants, termites, bees, hyenas, wolves, lions, dolphins, whales and humans. 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.

DOWNLOAD PAPER
Outcome:
Careful consideration of a foraging task can both increase a robotic swarm's efficiency and make its implementation costs more reasonable.



{Please enable JavaScript in order to post comments}

The Centralised Mindset and Complexity Science

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...

Boid Game-Playing through Randomised Movement

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.

Starting my PhD Next Week

I have finally finished making my studio in Southmapton at least decently homey as I am starting my PhD programme on Tuesday. I met some of my classmates yesterday (Saturday) during a barbeque and I am very excited about our future discussions and beer drinking.

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.

Citations count fails to measure the impact of research

Academic career progress is often judged by so-called "h-index", that measures how much your research is being cited. I recently had a detailed look at what exactly the citations, specifically those reported by Google Scholar, amount to. Only a relatively small fraction of the reported citations corresponded to research being applied or reproduced in a meaningful way.

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.