85 citations · 220 across the 29 of their papers we have counts for
5 papers · 1 filter
The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms
Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi
This paper demonstrates that a set of behaviours evolved in simulation on a miniature robot (epuck) can be transferred to a much larger scale platform (a virtual Pioneer P3-DX) tha…
The Use of Probabilistic Systems to Mimic the Behaviour of Idiotypic AIS Robot Controllers
Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techni…
Two-Timescale Learning Using Idiotypic Behaviour Mediation For A Navigating Mobile Robot
Amanda Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi
A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile-robot navigation problems is presented and tested in both the real and virtual domains.…
The Application of a Dendritic Cell Algorithm to a Robotic Classifier
Robert Oates, Julie Greensmith, Uwe Aickelin +2
The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The…
Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems
Amanda Whitbrook, Uwe Aickelin, Jonathan Garibaldi
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techni…