Combining Self-Organisation with Decision-Making and Planning

Abstract

Coordination of mobile multi-robot systems in a self-organised manner is in the first place beneficial for simple robots in common swarm robotics scenarios. Moreover, sophisticated robot systems as for instance in disaster rescue teams, service robotics and robot soccer can also benefit from a decentralised coordination while performing complex tasks. In order to facilitate self-organised sophisticated multi-robot applications a suitable approach is to combine individual decision-making and planning with self-organization. We introduce a framework for the implementation and application of self-organization mechanisms in multi-robot scenarios. Furthermore, the integration into the hybrid behaviour planning framework ROS Hybrid Behaviour Planner is presented. This combined approach allows for a goal-directed application of self-organisation and provides a foundation for an automated selection of suitable mechanisms.

@InProceedings{Hrabia2018Combining,
author="Hrabia, Christopher-Eyk
and Kaiser, Tanja Katharina
and Albayrak, Sahin",
editor="Belardinelli, Francesco
and Argente, Estefan{'i}a",
title="Combining Self-Organisation with Decision-Making and Planning",
booktitle="Multi-Agent Systems and Agreement Technologies",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="385--399",
abstract="Coordination of mobile multi-robot systems in a self-organised manner is in the first place beneficial for simple robots in common swarm robotics scenarios. Moreover, sophisticated robot systems as for instance in disaster rescue teams, service robotics and robot soccer can also benefit from a decentralised coordination while performing complex tasks. In order to facilitate self-organised sophisticated multi-robot applications a suitable approach is to combine individual decision-making and planning with self-organization. We introduce a framework for the implementation and application of self-organization mechanisms in multi-robot scenarios. Furthermore, the integration into the hybrid behaviour planning framework ROS Hybrid Behaviour Planner is presented. This combined approach allows for a goal-directed application of self-organisation and provides a foundation for an automated selection of suitable mechanisms.",
isbn="978-3-030-01713-2"
}
Authors:
Christopher-Eyk Hrabia, Tanja Katharina Kaiser, Sahin Albayrak
Category:
Conference Paper
Year:
2018
Location:
Multi-Agent Systems and Agreement Technologies: 15th European Conference, EUMAS 2017, and 5th International Conference, AT 2017, Evry, France, December 14-15, 2017