Duke of Edinburgh Presents Award to Software Systems Research Team
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Duke of Edinburgh Presents Award to Software Systems Research Team |
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A team of researchers from the Software Systems Research Centre have been presented with a best paper medal by the Duke of Edinburgh. The team of Alec Banks, Jonathan Vincent and Keith Phalp were winners of the prestigious Michael Richey Medal for the best article published throughout the year 2008 in the Journal of Navigation, for the paper: Particle Swarm Guidance System for Autonomous, Unmanned Aerial Vehicles in an Air Defence Role.
The awards were presented at the AGM of the Royal Institute of Navigation,
held at the Royal Geographical Society, where the authors were guests at the
AGM and reception. The picture below shows Left to Right, Keith Phalp, Jonathan
Vincent and Al Banks with HRH the Duke of Edinburgh.
The following photos show Al Banks receiving his award from HRH the Duke of Edinburgh, and Keith Phalp having just received his certificate and award.
This paper reflects work within the Software Systems Research centre that takes ideas from nature, particularly the behaviour of animals, for example, in their search for food, and uses these approaches to produce novel computer programs that are able to solve a variety of real world problems.
In this particular case, the work, which formed part of Alec Banks’ MSc dissertation, applies a variant of a technique called Particle Swarm Optimisation (PSO). The application area for the paper is that of Unmanned Aerial Vehicles (UAVs), which could be used to work cooperatively toward the goal of protecting a wide area against airborne attack. For this dynamic application area, it was necessary to enhance the particle swarm approach, by introducing a ‘neighbourhood scheme’. In effect, this reduces the chance of all UAVs chasing after a target that they cannot hope to intercept (reminiscent of small children playing football) by only allowing UAVs to swarm if they are able to manoeuvre into a position from which they might be able to intercept the target. Simulation of the approach showed that it enables effective interception of targets several times faster than the UAVs whilst also facilitating the maintenance of effective airspace coverage. Experiment results suggest that the techniques may indeed be of use in autonomous navigation systems for UAVs in air defence roles. Later work by the authors, also published by the Royal Institute of Navigation, has extended this approach through the addition of a variety of natural search strategies to improve the initial search capability of PSO enabled vehicles.
The story (Top award for BU software research team) can also be found on the DEC News page.
