doi:
UDK: 629.127.4-52; 62.501.55

TESTING A HETEROGENEOUS GROUP OF AUV FOR SEARCH OF OBJECTS ON THE BOTTOM

Семенов Н. Н., Чемоданов М. Н., Путинцев И. А., Синишин А. А.

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Article language: English

Annotation

Various foreign and domestic uninhabited underwater vehicles capable of performing group missions in an uncertain 3D moving environment are considered, examples of devices produced at SPbSMTU and Trionix Lab are given. Goal: building a group of robots to search for sunken objects at the bottom. Results: a comparison was made of the technical parameters of existing and mass-produced robots from different countries with support for the possibility of group work. The parameters of robots produced at SPbSMTU and Trionix Lab for group use are described, it is noted that such robots can be used both for practical use and for teaching students and schoolchildren. Practical significance: AUVs developed at SPbSMTU can be used in group control to search for objects at the bottom.
Keywords: group control, robot, group of robots, control system, AUV, underwater cartography, optical navigation, search for objects at the bottom, full-scale tests.

Bibliography

1. Santosha A.S., Dwivedya K., Robia P.S. Advancements in the field of autonomous underwater vehicle. Ocean Engineering, 1 June 2019, vol. 181, p. 145–160.
2. Schmickl Th., Graz K.-F.-U., Thenius R., Moslinger Ch., Timmis J. COCORO: The selfaware underwater swarm. Conference: Self-Adaptive and Self-Organizing Systems Workshop (SASOW), 2011, p. 12–21. DOI: 10.1109/SASOW.2011.11
3. Bondaryk J.E. Bluefin autonomous underwater vehicles: Programs, systems, and acoustic issues. The Journal of the Acoustical Society of America, 2004, 115, 2615, p. 2615–2616.
4. Hagen P.E., Storkersen N., Vestgard K. HUGIN AUVs in Marine Research – Today and Tomorrow. Conference: International Workshop on Underwater Robotics (IWUR), 2005, p. 972–976.
5. Vesna P. The Remus 100 Underwater Vehicles upgrading the Navy’s countermine capabilities. Hrvatski-vojnik.hr. hrvatski-vojnik. Retrieved 6 July 2018, p. 571–579.
6. Ferrao J., Dias P., Neves A.J.R. Detection of Aruco Markers Using the Quadliteral Sum Conjuncture. International Conference Image Analysis and Recognition. ICIAR, 2018, p. 363–369.
7. https://trionix-lab.ru/project-pers/3/
8. https://trionix-lab.ru/project-pers/4/


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