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

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

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

Original languageEnglish
Title of host publication2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020
Number of pages6
Place of PublicationPiscataway
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date01.06.2020
Pages532-537
Article number9161957
ISBN (print)978-1-7281-7020-6
ISBN (electronic)978-1-7281-7019-0, 978-1-7281-7018-3
DOIs
Publication statusPublished - 01.06.2020
Event25th International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020 - Sorrento, Italy
Duration: 24.06.202026.06.2020
Conference number: 25
http://www.speedam.org/

    Research areas

  • 3D laser scanner, Electric wheeled mobile robots, Propagation of information, Roles distribution, Vision system
  • Engineering