We present a simplified view of those parts of the human immune system which can be used to provide the basis for a data analysis tool. The motivation for and reasoning behind such a model is given and the desire for a ...

The need for fault tolerant mechanisms in flexible manufacturing systems is described and previous work on diagnosis in robotics and other areas is considered. Fundamental difficulties in the analysis of robot cell ...

A major mission driver for space exploration is to maximise science data return whilst minimising ground-based human intervention and hence associated operations costs. Future robotic exploration such as the ESA/NASA ExoMars ...

Thanks to rapid advances in planetary robotics and scientific instruments, data can now be gathered on the surface of Mars far quicker than can be successfully relayed to Earth. Pauses in activity have to be introduced, ...

We introduce an autonomous planetary exploration software architecture being developed for the purpose of autonomous science target identification and surface sample acquisition. Our motivation is to maximise planetary ...

This paper presents ongoing research on assistive service robotics for health-care and home applications. The whole control system is based on a behavior-based architecture that integrates reactive behavior into a task ...

Advanced autonomous artificial systems will need incremental learning and adaptive abilities similar to those seen in humans. Knowledge from biology, psychology and neuro-science is now inspiring new approaches for systems ...

This paper presents a novel application of advanced machine learning techniques for Mars terrain image classification. Fuzzy-rough feature selection (FRFS) is employed in conjunction with Support Vector Machines (SVMs) to ...

This work evaluates three techniques of calibrating capacitance (dielectric) spectrometers used for on-line monitoring of biomass: modeling of cell properties using the theoretical Cole–Cole equation, linear regression of ...