We have demonstrated the feasibility of using distributed multi-objective optimisers to generate coordinated mission plans for small teams of unmanned aerial vehicles.
Using an evolutionary algorithm-based, multi-objective optimisation technique, we have considered mission planning factors such as area of search, restricted airspace constraints, maximum ground control station range, adverse weather effects, airspace collision avoidance, energy minimisation, path linearity, named area of analysis emphasis, and sensor performance.
This algorithm development work aligns with the ‘Multi-task, multi-asset planning & allocation’ topic within the GAMMA programme, from which this project was part funded. We have an agreement with the University of Central Lancashire (UCLan) who provide invaluable development support for our projects. Expert knowledge for the algorithm was provided from The Great Circle, with software development support and underpinning (open source) optimisation techniques coming from UCLan. The novelty in this project is in the application of existing techniques in a new domain area (cooperative planning).
As a result of the overwhelming success of this initial proof of concept demonstration, we are now looking to continue our work to mature the applications in order to demonstrate them in a synthetic environment. We will keep you posted!
Could your business benefit from our deign and development work in the field of Autonomous Mission Management Applications?
We’re very sure we could work out a solution to fit your business requirements and budget. Bespoke software solutions are at the heart of what we do.
Our dedicated, patient and enthusiastic development team would love to hear from you.