An adaptive system to control robots: ontology distribution and treatment

Abstract

Computer science evolves ever more quickly towards autonomy: self-managing, self-configuring, or self-optimizing. This is an extreme view of automation. These features are crucial for the next generation of robots and software to help developing new tools. For these ambitious aims, there are different approaches such as datamining, expert systems, complex systems among many. Here, a multi-agent system to distribute ontology to control robots is presented. This project is developed with the Oz/Mozart system and a prototype is used to produce preliminary experiments. We present a method and its implementation for ontology distribution. This processing creates a scene description (a context in an environment) and makes a decision to follow a goal defined by different parameters.