Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
UniRoVE: Unified Robot Virtual Environment Framework
Department of Computer Technology and Computation, University of Alicante, Spain.
Department of Computer Technology and Computation, University of Alicante, Spain.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Virtual Production Development)ORCID iD: 0000-0002-8152-2315
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. JSPS Research Fellow, Graduate School of Engineering, Kyoto University, Kyoto Daigaku Katsura, Nishikyo, Kyoto, Japan. (Virtual Production Development)ORCID iD: 0000-0003-4180-6003
Show others and affiliations
2023 (English)In: Machines, E-ISSN 2075-1702, Vol. 11, no 8, article id 798Article in journal (Refereed) Published
Abstract [en]

With robotics applications playing an increasingly significant role in our daily lives, it is crucial to develop effective methods for teaching and understanding their behavior. However, limited access to physical robots in educational institutions and companies poses a significant obstacle for many individuals. To overcome this barrier, a novel framework that combines realistic robot simulation and intuitive control mechanisms within a virtual reality environment is presented. By accurately emulating the physical characteristics and behaviors of various robots, this framework offers an immersive and authentic learning experience. Through an intuitive control interface, users can interact naturally with virtual robots, facilitating the acquisition of practical robotics skills. In this study, a qualitative assessment to evaluate the effectiveness and user satisfaction with the framework is conducted. The results highlighted its usability, realism, and educational value. Specifically, the framework bridges the gap between theoretical knowledge and practical application in robotics, enabling users to gain hands-on experience and develop a deeper understanding of robot behavior and control strategies. Compared to existing approaches, the framework provides a more accessible and effective alternative for interacting with robots, particularly for individuals with limited physical access to such devices. In conclusion, the study presents a comprehensive framework that leverages virtual reality technology to enhance the learning and training process in robotics. By combining realistic simulations and intuitive controls, this framework represents a significant advancement in providing an immersive and effective learning environment. The positive user feedback obtained from the study reinforces the value and potential of the framework in facilitating the acquisition of essential robotics skills. Ultimately, this work contributes to flattening the robotics learning curve and promoting broader access to robotics education. 

Place, publisher, year, edition, pages
MDPI, 2023. Vol. 11, no 8, article id 798
Keywords [en]
collaborative robots, human–robot interaction, immersive learning, industrial robots, industry, robot teaching, virtual reality
National Category
Robotics Human Computer Interaction
Research subject
Virtual Production Development (VPD)
Identifiers
URN: urn:nbn:se:his:diva-23188DOI: 10.3390/machines11080798ISI: 001055281200001Scopus ID: 2-s2.0-85169113955OAI: oai:DiVA.org:his-23188DiVA, id: diva2:1795093
Funder
European Regional Development Fund (ERDF), grantPID2019-104818RB-I00
Note

CC BY 4.0

© 2023 by the authors.

Correspondence: azn3@alu.ua.es

We would like to thank “A way of making Europe” European Regional Development Fund (ERDF) and MCIN/AEI/10.13039/501100011033 CiteNPL CiteNPLCiteNPL for supporting this work under the MoDeaAS project (grantPID2019-104818RB-I00). Furthermore, we would like to thank ASSAR Innovation Arena for their support. Finally, we would like to thank Jorge Guillen Pastor, who was involved in the initial stages of the project and Patrik Gustavsson, the author of the software used as starting point for the developed work.

Available from: 2023-09-07 Created: 2023-09-07 Last updated: 2023-10-10Bibliographically approved

Open Access in DiVA

fulltext(1298 kB)104 downloads
File information
File name FULLTEXT01.pdfFile size 1298 kBChecksum SHA-512
fada8f4c421db9b41f747f145a30d66cd408bff47dcceea34453e7ba0b49b8ff2c5970694767b448052b817ab4c6dfc1c1877102db2265a39b89abafbe6203e9
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Igelmo García, VictorRuiz Zúñiga, Enrique

Search in DiVA

By author/editor
Igelmo García, VictorRuiz Zúñiga, Enrique
By organisation
School of Engineering ScienceVirtual Engineering Research Environment
In the same journal
Machines
RoboticsHuman Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
Total: 107 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 259 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf