A Data-Centered Integration Framework for Intelligent Service Robots

Integration of various software components in an intelligent robot needs an architecture to support integration of both control and data that are distributed over several computers. Traditional robot architectures have given more attention to the integration of control than data. In this paper, we present a data-centered integration framework to serve as a foundation to build robot intelligence. The framework consists of an agent-based control integration framework combined with a blackboard-based data integration framework.