This thesis presents a unified framework of theoretical and mathematical methods that generalises the analysis and modelling of intelligent robots that adaptively reassemble to meet classical mechanical needs of new task manoeuvres and spaces. To this end, the four broad avenues of research developed were generalised mathematical methodologies for: the characterisation of theoretical reassembling transformations, the analysis and modelling of reassembling robots' classical mechanical behaviours, a novel higher-dimensional general artificial intelligence approach and a new time series analysis and forecasting approach. This formulation was built using Geometric or Clifford Algebra, quaternions, screws, network theory and higher-dimensional conformal space mappings.
|Qualification||Doctor of Philosophy|
|Award date||3 Sep 2021|
|Publication status||Unpublished - 2020|