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Effective informational entropy reduction in multi-robot systems based on real-time TVS

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Authors

  • Mykhailo Ivanov
  • Oleg Sergiyenko
  • Paolo Mercorelli
  • Wilmar Hernandez
  • Vera Tyrsa
  • Daniel Hernandez-Balbuena
  • Julio Cesar Rodriguez Quinonez
  • Vladimir Kartashov
  • Marina Kolendovska
  • Tabakova Iryna

Paper covers the questions of informational entropy reduction and effectiveness improvement of multi-robot systems (MRS) in densely cluttered terrain. The presented approach uses the author's real-time laser technical vision systems (TVS) as the main tool for environmental sensing. The article proposes the MRS collaboration approach during the indoor environment digitalization while sharing information about detected obstacles.

OriginalspracheEnglisch
TitelProceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
Anzahl der Seiten6
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum01.06.2019
Seiten1162-1167
Aufsatznummer8781209
ISBN (elektronisch)978-1-7281-3666-0, 978-1-7281-3665-3 , 978-1-7281-3667-7
DOIs
PublikationsstatusErschienen - 01.06.2019
VeranstaltungIEEE International Symposium on Industrial Electronics - ISIE 2019 - Pinnacle Hotel Harbourfront, Vancouver, Kanada
Dauer: 12.06.2019 → 14.06.2019
Konferenznummer: 28
http://www.cvent.com/events/2019-ieee-28th-international-symposium-on-industrial-electronics-isie-/event-summary-d4f8357b85bf4bc6a6607a9d2571f033.aspx?dvce=1

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DOI

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