University of Oulu

Celentano U. and Röning J. (2016). Multi-robot Systems, Machine-Machine and Human-Machine Interaction, and Their Modelling.In Proceedings of the 8th International Conference on Agents and Artificial IntelligenceISBN 978-989-758-172-4, pages 118-125. DOI: 10.5220/0005667801180125

Multi-robot systems, machine-machine and human-machine interaction, and their modelling

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Author: Celentano, Ulrico1; Röning, Juha1
Organizations: 1Biomimetics and Intelligent Systems Group, Faculty of Information Technology and Electrical Engineering, University of Oulu, P.O. Box 4500, FI-90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2017111750783
Language: English
Published: Science and Technology Publications, 2016
Publish Date: 2017-11-17
Description:

Abstract

The control of multi-agent systems, including multi-robot systems, requires some level of context and environment awareness as well as interaction among the interworked cognitive entities, whether they are artificial or natural. Proper specification of the cognitive functionalities and of the corresponding interfaces helps in achieving the capability to reach interoperability across different operational domains, and to reuse the system design across different application domains. The model for interworking cognitive entities presented in this article, which includes explicitly interworking capabilities, is applied to two major classes of interaction in multi-robot systems. Being the model inspired by both artificial and natural systems, makes it suitable for both machine-machine and human-machine interaction.

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ISBN: 978-989-758-172-4
DOI: 10.5220/0005667801180125
OADOI: https://oadoi.org/10.5220/0005667801180125
Host publication: Proceedings of the 8th International Conference on Agents and Artificial Intelligence, 118-125, 2016, Rome, Italy
Host publication editor: van den Herik, Jaap
Filipe, Joaquim
Conference: 8 th International Conference on Agents and Artificial Intelligence, Rome, Italy on 24–26 Febrauary 2016
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
221 Nanotechnology
3112 Neurosciences
515 Psychology
Subjects:
Funding: The authors would like to thank Infotech Oulu for the financial support.
Copyright information: Copyright of the contribution is owned by the publisher, Science and Technology Publications (SCITEPRESS), http://www.scitepress.org. Published in this repository with the kind permission of the publisher.