Bio-inspired computer networks self-organise and learn

Bio-inspired computer networks self-organise and learn

European researchers have developed an innovative computing platform. The European PERPLEXUS project draws on another hot topic in research: self-organising wireless networks which can adapt to the job in hand.

This idea began with an earlier European project, POEtic, which developed a processor based on a large number of identical sub-units or cells. Depending on the current task, each cell can vary its function by changing its internal wiring; at a higher level, links between cells can also be made or broken. Until now, such flexibility has only been available from chips that are externally programmed. The ubichip, in contrast, works out the necessary wiring for itself.

Another branch of the project involved a fleet of small but sophisticated all-terrain robots fitted with ubichips. The researchers developed a new strategy in the field known as collective robotics, whose premise is that groups of robots which communicate with one another are more effective than the same robots acting individually.

In this case, the researchers looked at how foraging robots locate an important place such as a collection point for items they have picked up. Each robot displays a coloured beacon and carries a video camera which can see other robots’ beacons. Robots change the colour of their beacons to signal that they have successfully found the target, and nearby robots copy this behaviour.

The result is a gradient of beacon colours which guides other robots towards the target, rather as in an unfamiliar shopping mall where you might locate a particular store by following a trail of people carrying distinctive plastic bags. According to Pérez-Uribe, this technique is promising for situations where navigation by fixed coordinates or GPS is impossible.

Read more at: http://www.perplexus.org/