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Authors: Miroslav Kulich ; Jan Faigl ; Karel Košnar ; Libor Přeučil and Jan Chudoba

Affiliation: Czech Technical University in Prague, Czech Republic

Keyword(s): e-Learning, Mobile robotics, Collective robotics.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Cognitive Robotics ; Industrial Applications of AI ; Informatics in Control, Automation and Robotics ; Mobile Agents ; Robotics and Automation ; Soft Computing

Abstract: The paper deals with motivations and design leading to succeeding development of a system for remote learning of mobile robotics topics. Specifically, the designed SyRoTek system comprises a team of 12 tele-operated mobile robots acting in 24/7 maintenance-free environment equipped with charging docks and reconfigurable system of obstacles, all being observable and accessible via Internet. The SyRoTek system together with an attached e-learning environment it is aimed to provide the features real data gathering and real robot motion execution. The whole set-up is targeted on training purposes in basic and advanced courses in the field of Intelligent and Mobile Robotics and Collective Robotics as well as for test/verification purposes in a research domain.

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Paper citation in several formats:
Kulich, M.; Faigl, J.; Košnar, K.; Přeučil, L. and Chudoba, J. (2009). SYROTEK - On an e-Learning System for Mobile Robotics and Artificial Intelligence. In Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART; ISBN 978-989-8111-66-1; ISSN 2184-433X, SciTePress, pages 275-280. DOI: 10.5220/0001663102750280

@conference{icaart09,
author={Miroslav Kulich. and Jan Faigl. and Karel Košnar. and Libor P\v{r}eučil. and Jan Chudoba.},
title={SYROTEK - On an e-Learning System for Mobile Robotics and Artificial Intelligence},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART},
year={2009},
pages={275-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001663102750280},
isbn={978-989-8111-66-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - ICAART
TI - SYROTEK - On an e-Learning System for Mobile Robotics and Artificial Intelligence
SN - 978-989-8111-66-1
IS - 2184-433X
AU - Kulich, M.
AU - Faigl, J.
AU - Košnar, K.
AU - Přeučil, L.
AU - Chudoba, J.
PY - 2009
SP - 275
EP - 280
DO - 10.5220/0001663102750280
PB - SciTePress

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