An Ontology-based Multi-level Robot Architecture for Learning from Experiences
Sebastian Rockel, Bernd Neumann, Jianwei Zhang, Sandeep Krishna Reddy Dubba, Anthony G. Cohn, Štefan Konečný, Masoumeh Iran Mansouri, Federico Pecora, Alessandro Saffiotti, Martin Günther, Sebastian Stock, Joachim Hertzberg, Ana Maria Tomé, Armando J. Pinho, Luís Seabra Lopes, Stephanie von Riegen, Lothar Hotz · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2013
One way to improve the robustness and flexibility of robot performance is to let the robot learn from its experiences. In this paper, we describe the architecture and knowledge-representation framework for a service robot being developed in the EU project RACE, and present examples illustrating how learning from experiences will be achieved. As a unique innovative feature, the framework combines memory records of low-level robot activities with ontology-based high-level semantic descriptions. 1