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 -