Paper Info
Title
Interoperability In Cloud Robotics - Developing And Matching Knowledge Information Models For Heterogenous Multi-Robot Systems
Abstract
Every file, document, database and digital information is now going through the Cloud. Leveraged by the developments in information systems, Cloud Robotics is evolving at a steady pace and raised attention in the past 5 years. This recent field of Robotics is allowing engineers to envisage new and exciting applications for robots in the near future. This work proposes Cloud Robotics as a mean to integrate semantic reasoning in a multi-robot system, using self-created knowledge bases in each robot, in order to perform the coordination of complex task allocation. An auction-based coordination method and a knowledge matching algorithm were implemented to study this subject. The obtained results demonstrated that, the coordination of a large multi-robot system and the knowledge matching process can be computationally demanding, thus making them perfect candidate features to be "cloudyfied".
Year
Venue
Field
2017
2017 26TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN)
Information system,Computer vision,Computer science,Interoperability,Knowledge-based systems,Human–computer interaction,Artificial intelligence,Information model,Robot,Cloud robotics,Robotics,Cloud computing
DocType
ISSN
Citations 
Conference
1944-9445
0
PageRank 
References 
Authors
0.34
17
3
Name
Order
Citations
PageRank
João Quintas1348.38
Paulo Menezes2209.31
Jorge Dias317533.83