Combat unmanned ground vehicles: Perspectives for implementation into operational application

  • 1 University of Defence Brno


Combat Unmanned Ground Vehicles (UGV´s) are platforms designed for the replacement of the human element on the battlefield. Their autonomy depends on their respective level of technical development. Many armies invest varying levels of effort into the development of prototypes and solutions of UGV´s. They have various abilities and limits. Th is article uses open sources while identifying the current global state of perspectives in the short term. The authors are convinced that artificial intelligence, military robotics, and its implementation into operational structures can disrupt the process of conflict and will have a strong impact on the ratio of forces in regions throughout the world.



  1. Umělá inteligence a národní bezpečnost, Kongresová výzkumná služba; Aktualizováno 21. listopadu 2019,
  2. MARČÍK, L. a ko l. Návrh koncepce použití robotických systémů v AČR. Studie. Slavičín: VTÚ, s.p., 2016.
  3. Nguyen-Huu, Phuoc-Nguyen; Titus, Joshua. „GRRC Technical Report 2009-01 Reliability and Failure in Unman-ned Ground Vehicle (UGV)“ (PDF). University of Michigan. Vydáno 3. 9. 2016.
  4. Dilipraj, E.. (2016). Inevitable Warfare Technologies: Pragmatic Role of Robotics, 3D Printing and Supercomputers in Future Wars.
  13. POKONIECZNY, Krysztof, RYBANSKÝ, Marian. Method of developing the maps of passability for unmanned ground vehicles. In: 9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing (IGRSM 2018) 24-25 April 2018, Kuala Lumpur, Malaysia. Kuala Lumpur, Malaysia: IOP Conference Series: Earth and Environmental Science, 2018, p. nestránkováno. ISSN 1755-1307.
  14. NOHEL, Jan, STODOLA, Petr, FLASAR, Zdeněk. Combat UGV Support of Company Task Force Operations. In: Mazal J., Fagiolini A., Vasik P., Turi M. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer Science and Business Media Deutschland GmbH, 2021, roč. 12619 LNCS, p. 29-42. ISSN 0302-9743. ISBN 978-3-030-70739-2.
  15. HÁJEK, Karel. Increased Sensitivity of Ultrasonic Radars for Robotic Use. In: Modelling and Simulation for Autonomous Systems. Cham: Springer Verlag, 2019, p. 130-139. ISSN 0302-9743. ISBN 978-303014983-3.
  16. DOSKOČIL, Radek, KŘIVÁNEK, Vác lav, ŽALUD, Luděk. Přehledová studie a zpráva k vojenské robotice. [studie]. Brno: 2019.
  17. Boyd, Cameron & Collyer, R.S. & Skinner, D.J. & Smeaton, A.E. & Wilson, Shaun & Krause, D.W. & Dexter, R.M. & Perry, A.R. & Godfrey, Jim. (2005). Characterisation of Combat Identification Technologies. 2007. 1 - 6. 10.1109/TENCON.2005.301282.
  18. Etzioni, A., Etzioni, O. Incorporating Ethics into Artificial Intelligence. J Ethics 21, 403–418

Article full text

Download PDF