Abstract
To deal with the interrupt problem in Mascot Robot System, a control method based on fuzzy
priority measure and fuzzy selection criterion is proposed. The fuzzy priority measure is used to define
priorities of interrupt instructions. The fuzzy selection criterion based on fuzzy priority measure uses the
instruction execution time as well, resulting in optimized responsiveness of the system. This method is
embedded in Robot Technology Middleware used to construct environment for humans and robots to
communicate in the Mascot Robot System. Five kinds of Eyeball robot's emotions, with different execution
times, are used in the experiments on the real system and fuzzy interrupt processing method improves
responsiveness of the system for more than 18.5% with the acceptable delay time less than 0.32 seconds. In
addition, to classify systems and find out relations between two proposed fuzzy quantities and types of
systems, the simulation experiments are also performed and carefully analyzed. This relation is the key feature
of the proposed method that can be used to optimize different types of systems.