SDfR - Service Discovery for Robots

Stefan-Gabriel Chitic, Julien Ponge, Olivier Simonin

2016

Abstract

Multi-robots systems require dedicated tools and models for their design and the deployment. Our approach proposes service-oriented architecture that can simplify the development and deployment. In order to solve the problem of neighbors and service discovery in an ad-hoc network, the fleet robot needs a protocol that is able to constantly discover new robots in its coverage area. To this end we propose a robotic middleware, SDfR, that is able to provide service discovery. This protocol is an extension of the Simple Service Discovery Protocol (SSDP) used in Universal Plug and Play (UPnP) to dynamic networks generated by the mobility of the robots. Even if SDfR is platform independent, we propose a ROS (ROS, 2014) integration in order to facilitate the usage. We evaluate a series of overhead benchmarking across static and dynamic scenarios. We also present some use-cases where our proposal was successfully tested.

References

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Paper Citation


in Harvard Style

Chitic S., Ponge J. and Simonin O. (2016). SDfR - Service Discovery for Robots . In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-172-4, pages 236-243. DOI: 10.5220/0005755202360243


in Bibtex Style

@conference{icaart16,
author={Stefan-Gabriel Chitic and Julien Ponge and Olivier Simonin},
title={SDfR - Service Discovery for Robots},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2016},
pages={236-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005755202360243},
isbn={978-989-758-172-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - SDfR - Service Discovery for Robots
SN - 978-989-758-172-4
AU - Chitic S.
AU - Ponge J.
AU - Simonin O.
PY - 2016
SP - 236
EP - 243
DO - 10.5220/0005755202360243