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 Intelligence. ISBN 978-989-758-172-4, pages 118-125. DOI: 10.5220/0005667801180125
Multi-robot systems, machine-machine and human-machine interaction, and their modelling
|Author:||Celentano, Ulrico1; Röning, Juha1|
1Biomimetics and Intelligent Systems Group, Faculty of Information Technology and Electrical Engineering, University of Oulu, P.O. Box 4500, FI-90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2017111750783
Science and Technology Publications,
|Publish Date:|| 2017-11-17
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.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence, 118-125, 2016, Rome, Italy
|Host publication editor:||
van den Herik, Jaap
International Conference on Agents and Artificial Intelligence
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
The authors would like to thank Infotech Oulu for the financial support.
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.