ARTIFICIAL INTELLIGENCE, SPACECRAFT AUTONOMY AND CONTROL

Extensive work is also being done in the field of developing novel solutions for complex, multi-agent system operation and control strategies.  Research in this area covers theoretical modelling, simulation and experimental testing using model spacecraft.

Innovative work is being done in the area of biologically inspired devices and solutions, for example, development of search algorithms based on bee swarms, and research into the neural signalling in invertebrates’ leg movements. Particular areas of interest include: Search strategies using multi-agent systems; Autonomous multi-agent systems control and modelling; Hardware-in-the-Loop testing of autonomous spacecraft; Sensors-actuators-processors-communications (SAPC) testing; Formation-flying spacecraft control systems design, simulation and testing; Attitude determination and control techniques; Control systems for separated spacecraft; Biologically inspired devices and solutions.