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Smartphone teleoperation for self-balancing telepresence robots

Tutkimustuotos: KonferenssiartikkeliTieteellinenvertaisarvioitu

8 Sitaatiot (Scopus)
88 Lataukset (Pure)

Abstrakti

Self-balancing mobile platforms have recently been adopted in many applications thanks to their light-weight and slim build. However, inherent instability in their behaviour makes both manual and autonomous operation more challenging as compared to traditional self-standing platforms. In this work, we experimentally evaluate three teleoperation user interface approaches to remotely control a self-balancing telepresence platform: 1) touchscreen button user interface, 2) tilt user interface and 3) hybrid touchscreen-tilt user interface. We provide evaluation in quantitative terms based on user trajectories and recorded control data, and qualitative findings from user surveys. Both quantitative and qualitative results support our finding that the hybrid user interface (a speed slider with tilt turn) is a suitable approach for smartphone-based teleoperation of self-balancing telepresence robots. We also introduce a client-server based multi-user telepresence architecture using open source tools.

AlkuperäiskieliEnglanti
OtsikkoVISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
ToimittajatAndreas Kerren, Christophe Hurter, Jose Braz
KustantajaSCITEPRESS Science and Technology Publications
Sivut561-568
Sivumäärä8
ISBN (elektroninen)9789897583544
DOI - pysyväislinkit
TilaJulkaistu - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Computer Vision Theory and Applications - Prague, Tshekki
Kesto: 25 helmik. 201927 helmik. 2019

Conference

ConferenceInternational Conference on Computer Vision Theory and Applications
Maa/AlueTshekki
KaupunkiPrague
Ajanjakso25/02/1927/02/19

Rahoitus

This work was funded by Academy of Finland project: “Robots and the Future of Welfare Services”, decision number: 314180.

Julkaisufoorumi-taso

  • Jufo-taso 0

!!ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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