Currently, group control is one of the main developing branches in robotics field. Grouping robots has many advantages. These advantages include wider range, increased functionality, and higher indicator of the assigned tasks quality. Group control is subdivided into control of homogeneous and heterogeneous robots. Controlling heterogeneous robots is more interesting in terms of the ability to use each specific robot to solve its assigned task. This merit greatly expands capabilities of the group. This work discusses the use of tracked robots in group control of heterogeneous robots. An overview of the problem of using tracked robots has been made. The work includes forming functional diagram for a group and a pair. The pair consists of a tracked robot - a monitoring and command point. The work also discusses information flows interaction between a tracked robot and a remote central server using StateFlow package in MATLAB Simulink modeling environment.
REFERENCES
1.
Roslov
I.A.
, Skalyarov
A.A.
Gruppovoye upravleniye mobil'nymi robotami
. / Vestnik sovremennykh issledovaniy.
2
5.3 (20
), 2018
. 516
–517
s.2.
F.
Rubio
, F.
Valero
, C.
Llopis-Albert
. A review of mobile robots: Concepts, methods, theoretical framework, and applications. Article, 2019
, Center of Technological Research in Mechanical Engineering
, Universitat Politècnica de València
, Valencia, Spain
https://doi.org/3.
V.M.
Lokhin
, S.V.
Man'ko
, M.P.
Romanov
, S.A-K.
Diane
. Perspektivy primeneniya, printsipy postroyeniya i problemy razrabotki mul'tiagentnykh robototekhnicheskikh sistem/ «VESTNIK MGTU MIREA
” № 3 2015 Tom I].4.
Romanova
I.K.
Primeneniye sovremennykh informatsionnykh tekhnologiy v formirovanii kompetentsiy kollektivnogo proyektirovaniya na primere gruppovogo upravleniya geterogennymi robotami
. Tsifrovyye tekhnologii v inzhenernom obrazovanii: novyye trendy i opyt vnedreniya. Sbornik trudov Mezhdunarodnogo foruma.
2020
. S. 343
–346
.5.
ECSS-E-TM-10-25 System Engineering - Engineering Design Model Data Exchange (CDF).
7.
Farhan A.
Salem
. Electric Machine Analysis, Control and Verification for Mechatronics Motion Control Applications, Using New MATLAB Built-in Function and Simulink Model
. I.J. Intelligent Systems and Applications
, 2014
, 06
, 94
–108
.8.
Ahmad A.
Mahfouz
, Mohammed
M. K.
, Farhan A.
Salem
. Modeling, Simulation and Dynamics Analysis Issues of Electric Motor, for Mechatronics Applications, Using Different Approaches and Verification by MATLAB/Simulink
. I.J. Intelligent Systems and Applications
, 2013
, 05
, 39
–57
.9.
Ahmad A.
Mahfouz
, Ayman A.
Aly
, Farhan A.
Salem
. Mechatronics Design of a Mobile Robot System
. I.J. Intelligent Systems and Applications
, 2013
, 03
, 23
–36
.10.
Zhu
X.
, Gao
M.
, Li
S.
A real-time Road Boundary Detection Algorithm Based on Driverless Cars
// 4th National Conference on Electrical, Electronics and Computer Engineering.
2016
. P. 843
–848
.Garnett
N.
et al. Real-time category-based and general obstacle detection for autonomous driving
// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
2017
. P. 198
–205
.11.
A.K.
Koval'chuk
, M.N.
Kalinov
. Razrabotka sistemy upravleniya robota spetsial'nogo naznacheniya/
Izvestiya vuzov.
2011
№8.12.
Biard
R.U.
, MakLeyn
T.U.
Malyye bespilotnyye letatel'nyye apparaty: teoriya i praktika. M.: Tekhnosfera
, 2015
. 312
s.13.
Guilherme
V. R.
, Manuel
G. O.
, Francisco
R. R.
, Robust Nonlinear Control for Path Tracking of a Quad- Rotor Helicopter
, 2015
V. 17
, I. 1
, P. 142
–156
.14.
Luukkonen
T.
, Modelling and control of quadcopter
, 2011
, P.2
–6
.15.
Yevstigneyev
D.V.
Sistemy upravleniya intellektual'nykh mobil'nykh robotov v srede Dyn-Soft RobSim
516.
Kozov_A
. The Stage Robot Simulator. Stage Manual
[electronic source]. URL: http://rtv.github.io/Stage/ (access date: 7.06.2018).17.
Stanislav L.
Zenkevich
, Anaid V.
Nazarova
, Hua
Zhu
. Logical Control a Group of Mobile Robots: Group Interaction
. Chapter January 2019
with 70 Reads DOI:10.1007/978-3-319-99759-9_4. In book: Smart Electromechanical Systems
, pp.31
–43
.18.
Stanislav
L. Zenkevich.
, Anaid V.
Nazarova
, Jianwen
Huo
, Dynamic Switching of Multi-agent Formation in Unknown Obstacle Environment Chapter Chapter anuary 2020 with 14 Reads
DOI: . In book: Smart Electromechanical Systems
, pp.73
–87
. Jan 2020
.19.
Yan
, Maode
, Ma
, Wenrui
, Zuo
, Lei
, Yang
, Panpan
. Distributed Model Predictive Control for Platooning of Heterogeneous Vehicles with Multiple Constraints and Communication Delays
. Journal of Advanced Transportation
; 6/15/2020
, p1-16, 16
p.20.
Serebrenny
, V.
, Lapin
, D.
, Mokaeva
, A.
Selection of a Rational Architecture of Multi-Agent System for Group Control of Robotic Collaborative Cell
. AIP Conference Proceedings
; 2019
, Vol. 2171
Issue 1
, p190004
-1
-190004-5, 5p.21.
Donat
Ivanov
, Sergey
Kapustyan
, Evgeny
Petruchuk
. Distribution of Roles in a Dynamic Swarm of Robots in Conditions of Limited Communications
. International Conference on Interactive Collaborative Robotics ICR 2019: Interactive Collaborative Robotics
pp 99
–108
|. Conference paper. First Online: 13 August 2019
.22.
Viacheslav Khasanovich
Pshikhopov
, Mikhail
Medvedev
. Group control of autonomous robots motion in uncertain environment via unstable modes
. Article (PDF Available) in SPIIRAS Proceedings
5
(60
):39
· October 2018
with 87 Reads. DOI: 10.15622/sp.60.223.
Romanova
I.
Pareto Optimal Solutions and Their Application in Designing Robots and Robotic Systems
Chapter · January 2020
with 14 Reads DOI: ·In book: Robotics: Industry 4.0 Issues & New Intelligent Control Paradigms, pp.25
–39
.24.
Jun
Han
, Guoquan
Ren
, Dongwei
Li
. Co-simulation of a Tracked Mobile Robot Based on RecurDyn and SimulinkConference Paper
· January 2017
with 40 Reads. DOI: ·. Conference: 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
.25.
Aleksey
Kabanov
, Vadym
Kramar
. MODELING AND CONTROL OF TRACKED MOBILE ROBOT
. Conference Paper · January 2012
. DOI: 26.
Jorge L.
Martínez
and all. Approximating Kinematics for Tracked Mobile Robots
. The International Journal of Robotics Research
· October 2005
. DOI: 27.
V.
Andreev
, V.
Kim
, P.
Pletenev
. The Principle of Full Functionality – the Basis for Rapid Reconfiguration in Heterogeneous Modular Mobile Robots
. Article, Proceedings of the 28th DAAAM International Symposium
, pp.0023
–0028
, B. Katalinic (Ed.), Published by DAAAM International, 2017
, Vienna, Austria.28.
WiBotic PowerPad: the first autonomous wireless charging pad for UAVs. DronoMania - online magazine about drones. [electronic source]. URL: https://dronomania.ru/news/wibotic-powerpad-pervaya-avtonomnaya-besprovodnaya-zaryadnaya-ploshhadka-dlya-bpla.html
29.
A. B.
Junaid
, A.
Konoiko
, Y.
Zweiri
, M. N.
Sahinkaya
, L.
Seneviratne
. Autonomous Wireless Self- Charging for Multi-Rotor Unmanned Aerial Vehicle
. Article, Energies
2017
, 10
(6
), 803
, 2017
, https://doi.org/10.3390/en1006080330.
L. E.
Parker
, D.
Rus
, G. S.
Sukhatme
. Multiple Mobile Robot System
. Article. Springer Handbook of Robotics, Springer International Publishing Switzerland
, 2016
, pp1335
–1384
. URL:http://web.eecs.utk.edu/∼leparker/publications/Ch53-Multi-Mobile-Robots.pdf31.
B.
Charrow
. Information-theoretic active perception for multi-robot teams
. PhD thesis, University of Pennsylvania
, 2015
.32.
Stateflow
. Model and simulate decision logic using state machines and flow charts.
– 2020
. – [electronic source]. URL: https://www.mathworks.com/products/stateflow.html33.
B.
Freymann
, S.
Pawletta
, A.
Schmidt
, T.
Pawletta
, H.
Wismar
. Modeling and Simulation of Task-oriented MultiRobot Applications with MATLAB/Stateflow
. Article, Research Group Computational Engineering and Automation.34.
A.
Kassir
, R.
Fitch
, S.
Sukkarieh
. Communication-aware information gathering with dynamic information flow. Arcticle, Australian Centre for Field Robotics (ACFR) The University of Sydney
, pp.173
–200
, 2015
, NSW Australia
.
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