Towards Metaverse: Utilizing Extended Reality and Digital Twins to Control Robotic Systems

Author:

Kaarlela Tero1ORCID,Pitkäaho Tomi1ORCID,Pieskä Sakari1ORCID,Padrão Paulo2ORCID,Bobadilla Leonardo2ORCID,Tikanmäki Matti3,Haavisto Timo4ORCID,Blanco Bataller Víctor4,Laivuori Niko4ORCID,Luimula Mika4

Affiliation:

1. Department of Industrial Management, Centria University of Applied Sciences, 84100 Ylivieska, Finland

2. Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA

3. Probot OY, Planeettatie 6B, 90450 Kempele, Finland

4. School of ICT, Turku University of Applied Sciences, 20520 Turku, Finland

Abstract

Digitalization shapes the ways of learning, working, and entertainment. The Internet, which enables us to connect and socialize is evolving to become the metaverse, a post-reality universe, enabling virtual life parallel to reality. In addition to gaming and entertainment, industry and academia have noticed the metaverse’s benefits and possibilities. For industry, the metaverse is the enabler of the future digital workplace, and for academia, digital learning spaces enable realistic virtual training environments. A connection bridging the virtual world with physical production systems is required to enable digital workplaces and digital learning spaces. In this publication, extended reality–digital twin to real use cases are presented. The presented use cases utilize extended reality as high-level user interfaces and digital twins to create a bridge between virtual environments and robotic systems in industry, academia, and underwater exploration.

Funder

European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program

NSF

U.S. Department of Homeland Security

Finnish Ministry of Education and Culture under the research profile for funding for the project “Applied Research Platform for Autonomous Systems”

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

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