A service-oriented approach with neural networks and knowledge ontologies for robot control

Abstract

Researchers have been building robots able to interact and work with people at home. To share and reuse robot code between different developers, we present a service-based approach that exploits the standard web interface to create reusable robotic services. Our approach includes knowledge ontology planning and neural network learning strategies for robot control. In addition, several service functions, including service discovery, selection, composition, and reconfiguration have been developed for operating the services. The proposed approach has been implemented and evaluated. The results show that our approach can be used to build robotic services successfully. © Springer-Verlag 2013.