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

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
Number of pages6
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date01.06.2019
Pages1162-1167
Article number8781209
ISBN (electronic)978-1-7281-3666-0, 978-1-7281-3665-3 , 978-1-7281-3667-7
DOIs
Publication statusPublished - 01.06.2019
EventIEEE International Symposium on Industrial Electronics - ISIE 2019 - Pinnacle Hotel Harbourfront, Vancouver, Canada
Duration: 12.06.201914.06.2019
Conference number: 28
http://www.cvent.com/events/2019-ieee-28th-international-symposium-on-industrial-electronics-isie-/event-summary-d4f8357b85bf4bc6a6607a9d2571f033.aspx?dvce=1

    Research areas

  • 3D laser scanner, data exchange, informational entropy, robotic group, vision system
  • Engineering