SELF-ORGANISED DISTRIBUTION OF TASKS INSIDE A NETWORKED ROBOTIC SYSTEM

Sebastian Smolorz, Bernardo Wagner

2011

Abstract

For several years, mobile multi-robot systems are a main focus in robotic research. The possibilities to carry out demanding algorithms in a networked robotic system grow as computational resources used by those robots become more and more powerful and inexpensive. One major question is how to distribute the necessary algorithms and tasks to the available computers so that all requirements are met and furthermore, an optimal distribution pattern is achieved. This paper presents a new approach for generating an optimal task distribution pattern without human intervention based on the concepts of Autonomic Computing and Computational Intelligence. Although still in its conceptual state, we describe why our approach seems to be promising for this particular problem. Additionally, further challenges and research demand are outlined.

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Paper Citation


in Harvard Style

Smolorz S. and Wagner B. (2011). SELF-ORGANISED DISTRIBUTION OF TASKS INSIDE A NETWORKED ROBOTIC SYSTEM . In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8425-74-4, pages 235-238. DOI: 10.5220/0003572402350238


in Bibtex Style

@conference{icinco11,
author={Sebastian Smolorz and Bernardo Wagner},
title={SELF-ORGANISED DISTRIBUTION OF TASKS INSIDE A NETWORKED ROBOTIC SYSTEM},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2011},
pages={235-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003572402350238},
isbn={978-989-8425-74-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - SELF-ORGANISED DISTRIBUTION OF TASKS INSIDE A NETWORKED ROBOTIC SYSTEM
SN - 978-989-8425-74-4
AU - Smolorz S.
AU - Wagner B.
PY - 2011
SP - 235
EP - 238
DO - 10.5220/0003572402350238