@inproceedings{34ae2b6b8a564c1b849836b71e3ae264,
title = "An ontology-based multi-level robot architecture for learning from experiences",
abstract = "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.",
author = "S. Rockel and B. Neumann and J. Zhang and Dubba, {K. S.R.} and Cohn, {A. G.} and {\v S} Kone{\v c}n{\'y} and M. Mansouri and F. Pecora and A. Saffiotti and M. G{\"u}nther and S. Stock and J. Hertzberg and Tom{\'e}, {A. M.} and A. Pinho and {Seabra Lopes}, L. and {Von Riegen}, S. and L. Hotz",
year = "2013",
month = mar,
day = "15",
language = "English",
isbn = "9781577356011",
series = "AAAI Spring Symposium Series",
publisher = "AAAI Press",
pages = "52--57",
booktitle = "Designing Intelligent Robots",
note = "2013 AAAI Spring Symposium ; Conference date: 25-03-2013 Through 27-03-2013",
}