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Fusion of knowledge bases for better navigation of wheeled mobile robotic group with 3D TVS

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

Authors

  • Oleg Sergiyenko
  • Vera Tyrsa
  • Mykhailo Ivanov
  • Paolo Mercorelli
  • Wilmar Hernandez
  • Marina Kolendovska

Group navigation improvement for a robotic group is an actual task. This problem can be solved by optimizing communication within this group, even for a heavily cluttered environment. Also, optimized communication can be successfully used for effective penetration into the studied sector. The article solves the problems that arise when the robots group navigation acts. It describes the use of a technical vision system (TVS) based on the principle of dynamic triangulation with subsequent transmission of data of interest. Two different simulations in order to optimize the fused database for better path planning aiming the improvement of electric wheeled mobile robots group navigation in unknown cluttered terrain are presented. It permits more efficient path-planning of the RG

OriginalspracheEnglisch
Titel2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020
Anzahl der Seiten6
ErscheinungsortPiscataway
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum01.06.2020
Seiten532-537
Aufsatznummer9161957
ISBN (Print)978-1-7281-7020-6
ISBN (elektronisch)978-1-7281-7019-0, 978-1-7281-7018-3
DOIs
PublikationsstatusErschienen - 01.06.2020
Veranstaltung25th International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020 - Sorrento, Italien
Dauer: 24.06.2020 → 26.06.2020
Konferenznummer: 25
http://www.speedam.org/

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DOI

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