Fusion of knowledge bases for better navigation of wheeled mobile robotic group with 3D TVS
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Fusion of knowledge bases for better navigation of wheeled mobile robotic group with 3D TVS. / Sergiyenko, Oleg; Tyrsa, Vera; Ivanov, Mykhailo et al.
2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020. Piscataway : IEEE - Institute of Electrical and Electronics Engineers Inc., 2020. S. 532-537 9161957.Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Fusion of knowledge bases for better navigation of wheeled mobile robotic group with 3D TVS
AU - Sergiyenko, Oleg
AU - Tyrsa, Vera
AU - Ivanov, Mykhailo
AU - Mercorelli, Paolo
AU - Hernandez, Wilmar
AU - Kolendovska, Marina
N1 - Conference code: 25
PY - 2020/6/1
Y1 - 2020/6/1
N2 - 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
AB - 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
KW - 3D laser scanner
KW - Electric wheeled mobile robots
KW - Propagation of information
KW - Roles distribution
KW - Vision system
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85091187931&partnerID=8YFLogxK
U2 - 10.1109/SPEEDAM48782.2020.9161957
DO - 10.1109/SPEEDAM48782.2020.9161957
M3 - Article in conference proceedings
AN - SCOPUS:85091187931
SN - 978-1-7281-7020-6
SP - 532
EP - 537
BT - 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
CY - Piscataway
T2 - 25th International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020
Y2 - 24 June 2020 through 26 June 2020
ER -