Effective informational entropy reduction in multi-robot systems based on real-time TVS
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Effective informational entropy reduction in multi-robot systems based on real-time TVS. / Ivanov, Mykhailo; Sergiyenko, Oleg; Mercorelli, Paolo et al.
Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019. IEEE - Institute of Electrical and Electronics Engineers Inc., 2019. S. 1162-1167 8781209.Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Effective informational entropy reduction in multi-robot systems based on real-time TVS
AU - Ivanov, Mykhailo
AU - Sergiyenko, Oleg
AU - Mercorelli, Paolo
AU - Hernandez, Wilmar
AU - Tyrsa, Vera
AU - Hernandez-Balbuena, Daniel
AU - Rodriguez Quinonez, Julio Cesar
AU - Kartashov, Vladimir
AU - Kolendovska, Marina
AU - Iryna, Tabakova
N1 - Conference code: 28
PY - 2019/6/1
Y1 - 2019/6/1
N2 - 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.
AB - 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.
KW - 3D laser scanner
KW - data exchange
KW - informational entropy
KW - robotic group
KW - vision system
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85070618935&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2019.8781209
DO - 10.1109/ISIE.2019.8781209
M3 - Article in conference proceedings
AN - SCOPUS:85070618935
SP - 1162
EP - 1167
BT - Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Symposium on Industrial Electronics - ISIE 2019
Y2 - 12 June 2019 through 14 June 2019
ER -